Diab Abuaiadah, Dileep Rajendran, Mustafa Jarrar: Clustering Arabic Tweets for Sentiment Analysis. Proceedings of the 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications. IEEE Computer Society. DOI 10.1109/AICCSA.2017.162
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2018 Distinguished Speaker, the UC Irvine Institute for Software Research (ISR) Distinguished Speaker Series 2018-2019. "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://isr.uci.edu/content/isr-distinguished-speaker-series-2018-2019
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Plagiarism, cheating, and other types of academic misconduct are critical issues in higher education. In
this study, we conducted two questionnaires, one for Saudi universities and another for Saudi students at
different Saudi universities to investigate their beliefs and perceptions about plagiarism tools.
The first questionnaire was conducted to investigate to which degree the Saudi universities use plagiarism
tools. Four universities responded to our questionnaire (KSU, Immamu, PSAU, and Shaqra University).
The second questionnaire was used to investigate the user perceptions toward plagiarism tools in their
universities. Forty students responded to this questionnaire. Each student was answered 20 questions. Part
of these questions is to measure the confidence of students in terms of referencing; another part is to
measure the overall confidence to the system and evaluation of the students’ experience. The responses
indicate that the respondents believe that some questions reflect their own cases with the plagiarism during
their educational lifetime.
The goal of this course is to introduce students to ideas and techniques from discrete mathematics that are widely used in computer science. Ultimately, students are expected to understand and use (abstract) discrete structures that are the backbones of computer science. In particular, this class is meant to introduce logic, proofs, sets, functions, relations, counting, graphs and trees and with an emphasis on applications in computer science.
New Research Articles 2020 May Issue International Journal of Software Engin...ijseajournal
International Journal of Software Engineering & Applications (IJSEA)- ERA Indexed
ISSN: 0975 - 9018 (Online); 0976-2221 (Print)
http://www.airccse.org/journal/ijsea/ijsea.html
Current Issue : May 2020, Volume 11, Number 3
Programmer Productivity Enhancement Through Controlled Natural Language Input
Howard Dittmer and Xiaoping Jia, DePaul University, USA
Towards Auditability Requirements Specification using an Agent-based Approach
Denis J. S. de Albuquerque1, Vanessa Tavares Nunes1, Claudia Cappelli2 and Célia Ghedini Ralha1, 1University of Brasilia, Brazil and 2Federal University of Rio de Janeiro, Brazil
How (UN) Happiness Impacts on Software Engineers in Agile Teams?
Luís Felipe Amorim, Marcelo Marinho and Suzana Sampaio, Federal Rural University of Pernambuco (UFRPE), Brazil
The Proposed Implementation of RFID based Attendance System
Rizwan Qureshi, King Abdul-Aziz University, Saudi Arabia
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
Halcyon D. P. Carvalho, Marília N. C. A. Lima, Wylliams B. Santos and Roberta A. de A.Fagunde, University of Pernambuco, Brazil
Factors that Affect the Requirements Adherence to Business in Agile Projects: an Industrial Cross-case Analysis
Helena Bastos1, Alexandre Vasconcelos1, Wylliams Santos2 and Juliana Dantas3, 1Universidade Federal de Pernambuco, Brazil, 2Universidade de Pernambuco, Brazil and 3Instituto Federal de Educação Ciência e Tecnologia da Paraíba, Brazil
IT Project Showstopper Framework: The View of Practitioners
Godfred Yaw Koi-Akrofi, University of Professional Studies, Accra
http://www.airccse.org/journal/ijsea/vol11.html
Top 2 cited papers in 2017 - International Journal of Artificial Intelligenc...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
New research articles 2020 october issue international journal of multimedi...ijma
The International Journal of Multimedia & Its Applications (IJMA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Multimedia & its applications. The journal focuses on all technical and practical aspects of Multimedia and its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding recent developments this arena, and establishing new collaborations in these areas.
Intelligent Software Engineering: Synergy between AI and Software Engineering...Tao Xie
2018 Distinguished Speaker, the UC Irvine Institute for Software Research (ISR) Distinguished Speaker Series 2018-2019. "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://isr.uci.edu/content/isr-distinguished-speaker-series-2018-2019
The Plagiarism Detection Systems for Higher Education - A Case Study in Saudi...ijseajournal
Plagiarism, cheating, and other types of academic misconduct are critical issues in higher education. In
this study, we conducted two questionnaires, one for Saudi universities and another for Saudi students at
different Saudi universities to investigate their beliefs and perceptions about plagiarism tools.
The first questionnaire was conducted to investigate to which degree the Saudi universities use plagiarism
tools. Four universities responded to our questionnaire (KSU, Immamu, PSAU, and Shaqra University).
The second questionnaire was used to investigate the user perceptions toward plagiarism tools in their
universities. Forty students responded to this questionnaire. Each student was answered 20 questions. Part
of these questions is to measure the confidence of students in terms of referencing; another part is to
measure the overall confidence to the system and evaluation of the students’ experience. The responses
indicate that the respondents believe that some questions reflect their own cases with the plagiarism during
their educational lifetime.
The goal of this course is to introduce students to ideas and techniques from discrete mathematics that are widely used in computer science. Ultimately, students are expected to understand and use (abstract) discrete structures that are the backbones of computer science. In particular, this class is meant to introduce logic, proofs, sets, functions, relations, counting, graphs and trees and with an emphasis on applications in computer science.
New Research Articles 2020 May Issue International Journal of Software Engin...ijseajournal
International Journal of Software Engineering & Applications (IJSEA)- ERA Indexed
ISSN: 0975 - 9018 (Online); 0976-2221 (Print)
http://www.airccse.org/journal/ijsea/ijsea.html
Current Issue : May 2020, Volume 11, Number 3
Programmer Productivity Enhancement Through Controlled Natural Language Input
Howard Dittmer and Xiaoping Jia, DePaul University, USA
Towards Auditability Requirements Specification using an Agent-based Approach
Denis J. S. de Albuquerque1, Vanessa Tavares Nunes1, Claudia Cappelli2 and Célia Ghedini Ralha1, 1University of Brasilia, Brazil and 2Federal University of Rio de Janeiro, Brazil
How (UN) Happiness Impacts on Software Engineers in Agile Teams?
Luís Felipe Amorim, Marcelo Marinho and Suzana Sampaio, Federal Rural University of Pernambuco (UFRPE), Brazil
The Proposed Implementation of RFID based Attendance System
Rizwan Qureshi, King Abdul-Aziz University, Saudi Arabia
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
Halcyon D. P. Carvalho, Marília N. C. A. Lima, Wylliams B. Santos and Roberta A. de A.Fagunde, University of Pernambuco, Brazil
Factors that Affect the Requirements Adherence to Business in Agile Projects: an Industrial Cross-case Analysis
Helena Bastos1, Alexandre Vasconcelos1, Wylliams Santos2 and Juliana Dantas3, 1Universidade Federal de Pernambuco, Brazil, 2Universidade de Pernambuco, Brazil and 3Instituto Federal de Educação Ciência e Tecnologia da Paraíba, Brazil
IT Project Showstopper Framework: The View of Practitioners
Godfred Yaw Koi-Akrofi, University of Professional Studies, Accra
http://www.airccse.org/journal/ijsea/vol11.html
Top 2 cited papers in 2017 - International Journal of Artificial Intelligenc...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
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The International Journal of Multimedia & Its Applications (IJMA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Multimedia & its applications. The journal focuses on all technical and practical aspects of Multimedia and its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding recent developments this arena, and establishing new collaborations in these areas.
Top cited articles 2020 - Advanced Computational Intelligence: An Internation...aciijournal
Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
New Research Articles 2020 September Issue International Journal of Software ...ijseajournal
International Journal of Software Engineering & Applications (IJSEA)- ERA Indexed
ISSN: 0975 - 9018 (Online); 0976-2221 (Print)
http://www.airccse.org/journal/ijsea/ijsea.html
New Research Articles 2020 September Issue International Journal of Software Engineering & Applications (IJSEA)
Current Issue: September 2020, Volume 11, Number 5
Secure Descartes: A Security Extension to Descartes Specification Language
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Iterative and Incremental Development Analysis Study of Vocational Career Information Systems
Isyaku Maigari Ibrahim, Ogwueleka Francisca Nonyelum and Isah Rambo Saidu, Nigerian Defense Academy, Nigeria
MASRML - A Domain-specific Modeling Language for Multi-agent Systems Requirements Gilleanes Thorwald Araujo Guedes1, Iderli Pereira de Souza Filho1, Lukas Filipe Gaedicke1, Giovane D’Ávila Mendonça1, Rosa Maria Vicari2 and Carlos Brusius2, 1Pampa Federal University, Brazil, 2Federal University of Rio Grande do Sul, Brazil
http://www.airccse.org/journal/ijsea/vol11.html
May 2022: Top 10 Read Articles in Data Mining & Knowledge Management ProcessIJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
Information Technology in Industry(ITII) - November Issue 2018ITIIIndustries
IT Industry publishes original research articles, review articles, and extended versions of conference papers. Articles resulting from research of both theoretical and/or practical natures performed by academics and/or industry practitioners are welcome. IT in Industry aims to become a leading IT journal with a high impact factor.
Top 10 Natural Language Processing Trends in 2020 - International Journal on ...kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
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** ERA Indexed **
ISSN: 0975 - 9018 (Online); 0976-2221 (Print)
https://airccse.org/journal/ijsea/ijsea.html
Current Issue: January 2022, Volume 13, Number 1
New Research Articles 2022 January Issue International Journal of Software Engineering & Applications (IJSEA)
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Study on Technical Focuses and Sampling Coverage Strategy of Airborne Software Reviews
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https://airccse.org/journal/ijsea/vol13.html
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TOP READ NATURAL LANGUAGE COMPUTING ARTICLE 2020kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
May 2024: Top 10 Read Articles in Software Engineering & Applications Interna...sebastianku31
Welcome To IJSEA ...!!!
Call for papers___!
International Journal of Software Engineering & Applications(IJSEA)
ISSN:0975-3834 [Online]; 0975-4679 [Print]
ERA Indexed, H Index 31
Web Page URL : https://airccse.org/journal/ijsea/ijsea.html
Submission URL :https://airccse.com/submissioncs/home.html
Contact Us : ijseajournal@airccse.org or ijsea@aircconline.com
May 2024: Top 10 Read Articles Posted Url:https://www.academia.edu/119977684/April_2024_Top_10_Read_Articles_in_Software_Engineering_and_Applications_International_Journal_of_Software_Engineering_and_Applications_IJSEA_ERA_Indexed
Trends of machine learning in 2020 - International Journal of Artificial Inte...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Federated Learning of Neural Network Models with Heterogeneous Structures.pdfKundjanasith Thonglek
Federated learning trains a model on a centralized server using datasets distributed over a large number of edge devices. Applying federated learning ensures data privacy because it does not transfer local data from edge devices to the server. Existing federated learning algorithms assume that all deployed models share the same structure. However, it is often infeasible to distribute the same model to every edge device because of hardware limitations such as computing performance and storage space. This paper proposes a novel federated learning algorithm to aggregate information from multiple heterogeneous models. The proposed method uses weighted average ensemble to combine the outputs from each model. The weight for the ensemble is optimized using black box optimization methods. We evaluated the proposed method using diverse models and datasets and found that it can achieve comparable performance to conventional training using centralized datasets. Furthermore, we compared six different optimization methods to tune the weights for the weighted average ensemble and found that tree parzen estimator achieves the highest accuracy among the alternatives.
The presentation was given at the SOCM'16 workshop at the WWW16 conference. It corresponds to the research study titled "Observlets: Empowering Analytical Observations on Web Observatory".
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Top 5 MOST VIEWED LANGUAGE COMPUTING ARTICLE - International Journal on Natur...kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Classifying Processes and Basic Formal OntologyMustafa Jarrar
pdf http://www.jarrar.info/publications/JC17.pdf
Mustafa Jarrar and Werner Ceusters
ABSTRACT
Unlike what is the case for physical entities and other types of continuants, few process ontologies exist. This is not only because processes received less attention in the research community, but also because classifying them is challenging. Moreover, upper level categories or classification criteria to help in modelling and integrating lower level process ontologies have thus far not been developed or widely adopted. This paper proposes a basis for further classifying processes in the Basic Formal Ontology. The work is inspired by the aspectual characteristics of verbs such as homeomericity, cumulativity, telicity, atomicity, instantaneity and durativity. But whereas these characteristics have been proposed by linguists and philosophers of language from a linguistic perspective with a focus on how matters are described, our focus is on what is the case in reality thus providing an ontological perspective. This was achieved by first investigating the applicability of these characteristics to the top-level processes in the Gene Ontology, and then, where possible, deriving from the linguistic perspective relationships that are faithful to the ontological principles adhered to by the Basic Formal Ontology.
Lecture slides by Mustafa Jarrar at Birzeit University, Palestine.
Course Title: Data and Business Process Modeling
See the course webpage and video lectures at: http://jarrar-courses.blogspot.com/2015/01/data-and-business-process-modelling.html
and http://www.jarrar.info
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The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
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Web Page URL : https://airccse.org/journal/ijsea/ijsea.html
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Contact Us : ijseajournal@airccse.org or ijsea@aircconline.com
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pdf http://www.jarrar.info/publications/JC17.pdf
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Unlike what is the case for physical entities and other types of continuants, few process ontologies exist. This is not only because processes received less attention in the research community, but also because classifying them is challenging. Moreover, upper level categories or classification criteria to help in modelling and integrating lower level process ontologies have thus far not been developed or widely adopted. This paper proposes a basis for further classifying processes in the Basic Formal Ontology. The work is inspired by the aspectual characteristics of verbs such as homeomericity, cumulativity, telicity, atomicity, instantaneity and durativity. But whereas these characteristics have been proposed by linguists and philosophers of language from a linguistic perspective with a focus on how matters are described, our focus is on what is the case in reality thus providing an ontological perspective. This was achieved by first investigating the applicability of these characteristics to the top-level processes in the Gene Ontology, and then, where possible, deriving from the linguistic perspective relationships that are faithful to the ontological principles adhered to by the Basic Formal Ontology.
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Course Title: Data and Business Process Modeling
See the course webpage and video lectures at: http://jarrar-courses.blogspot.com/2015/01/data-and-business-process-modelling.html
and http://www.jarrar.info
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Lecture slides by Mustafa Jarrar at Birzeit University, Palestine.
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See the course webpage and video lectures at: http://jarrar-courses.blogspot.com/2015/01/data-and-business-process-modelling.html
and http://www.jarrar.info
Lecture slides by Mustafa Jarrar at Birzeit University, Palestine.
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See the course webpage and video lectures at: http://jarrar-courses.blogspot.com/2015/01/data-and-business-process-modelling.html
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and http://www.jarrar.info
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and http://www.jarrar.info
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See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
and http://www.jarrar.info
and on Youtube:
https://www.youtube.com/watch?v=GYmI37-0b5k&index=7&list=PLDEA50C29F3D28257
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See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
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Islamic University of Gaza, Palestine
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Prof Paolo Bouquet
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Jarrar: Logical Foundation of Ontology EngineeringMustafa Jarrar
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and http://www.jarrar.info
and on Youtube:
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As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
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Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
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1. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 1
Clustering Arabic Tweets
for Sentiment Analysis
Diab Abuaiadah
Diab.Abuaiadah@Wintec.ac.nz
Waikato Institute of Technology
New Zealand
Dileep Rajendran
Dileep.Rajendran@Wintec.ac.nz
Waikato Institute of Technology
New Zealand
Mustafa Jarrar
mjarrar@birzeit.edu
Birzeit University
Palestine
2. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 2
This talk is based on:
Diab Abuaiadah, Dileep Rajendran, Mustafa Jarrar:
Clustering Arabic Tweets for Sentiment Analysis.
Proceedings of the 2017 IEEE/ACS 14th International
Conference on Computer Systems and Applications.
IEEE Computer Society. DOI
10.1109/AICCSA.2017.162
http://www.jarrar.info/publications/ARJ17.pdf
3. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 3
Characteristics and challenges of Arabic Tweets
Short text: “Less statistical data” implies poor result, thus less
effective information retrieval algorithms.
Dialectal language: vast geographical area which includes the
Middle east and north Africa.
Informal language: does not follow language grammar and
rules.
Different regions have different dialects.
4. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 4
Importance of extracting knowledge
from Arabic tweets
Social and political sentiments: measures the popularity of
political and/or social policies.
Marketing products : extracting positive and negative opinion,
discovering recent trends and detecting product popularity.
Sarcastic and non-Sarcastic tweets: also important for
detecting sentiments.
5. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 5
What preprocessing steps are needed?
Removing stop words!
In many applications removing stop words may improve the performance
In sentiment analysis removing stop might result in loosing valuable
information. For example: keeping negative terms such as “no” can be
useful to indicate negative sentiments
Lemmatization!
More challenging with informal and short text
May produce high errors ratio
Stemming!
Also has high error ratio for informal short text
6. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 6
Similarity Functions
Most information retrieval algorithms employ a similarity (or
distance) function to measure the similarity between :
two documents (Tweets)
or a document (Tweet) and a group of documents (Tweets)
There are five commonly used similarity functions in natural
language processing applications: Euclidian, Cosine, Pearson,
Jaccard and averaged Kullback-Leibler divergence (KLD)
The goal of this paper is to evaluate and compare these
functions in clustering Arabic tweets for sentiment analysis
7. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 7
The similarity functions
8. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 8
Our Datasets and Preprocessing
An open dataset with 2000 tweets (Jordan dialect)
N. Abdulla, N. Mahyoub, M. Shehab and N. Al-Ayyoub, "Arabic sentiment analysis:
Corpus-based and lexicon- based," in In Proceedings of The IEEE conference on Applied
Electrical Engineering and Computing Technologies (AEECT)., 2013.
Other datasets were available but the labeling was
immature at the time of writing the paper.
Preprocessing includes removing stop words, Light10
and Khoja stemmers.
Clustering using the K-Means (and Bisect K-Means)
algorithms.
9. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 9
Implementation
Khoja’s stemmer: the Java code was taken from the author
home page. http://zeus.cs.pacificu.edu/shereen/research.htm
Light10 and removing stop words: in-house Java code. The
implementation is straightforward as it simply strip off a
predefined fixed set of prefixes and suffixes.
Clustering and Bisect clustering: in-house Java code using
Hashtable to represent TF-IDF of each document.
(TF: Term Frequency, IDF: Inverse Document Frequency)
Purities and entropies: in-house Java code.
To measure the quality of the algorithm’s results
10. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 10
Testing the code
The code for the similarity functions, K-Means clustering,
purity and entropy measures were tested by applying it to a
well-known dataset
20 Newsgroup dataset: http://csmining.org/index.php/id-20-newsgroups.html
The purities and entropies results (when applying the K-
Means) is comparable to that of Huang (2008):
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.332.4480&rep=rep1&type=pdf
11. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 11
Purities: K-means algorithm
Raw: no pre-processing
NoSW: Only removed stop words (the known list)
Light10: Removed stop words + Light10
Root: Removed stop words + Khoja’s
- Each test was repeated 50 times, and the average is used.
- The Euclidian was bad
12. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 12
Purities for K-Means
KLD clearly outperformed the Cosine similarity function
KLD outperformed the Cosine similarity function
This is of interest as the Cosine similarity function is commonly used in
many products and published papers.
The Cosine function outperforms KLD for normal-sized texts, but for
tweets, as our experiment is showing.
Kohja's stemmer (Root) clearly outperforms the Light10
stemmer
However, Light10 stemmer outperforms Kohja’s stemmer for normal-
sized texts
13. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 13
Purities: optimized K-Means
The optimized K-Means (Bisect K-Means) improves the results
compared to that of K-Means (68% to 76%).
KLD and Kohja’s stemmer retained their superiority compared to
other similarity functions and other processing.
14. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 14
Future Research
Lemmatization: could be more effective than stemmers
Are other clustering algorithms more effective than K-
Means? Hierarchical algorithms produce better clustering
results but have higher running time
N-gram preprocessing is an interesting approach that could
lead to higher accuracies
15. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 15
Thank you
Questions?
Questions?
16. 14th International Conference on Computer Systems and Application (AICCSA’17), 30 October 2017 16
References
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Editor's Notes
Sarcastic = ساخر
Clustering into two classes (positive , Negative) .