This document describes a system that analyzes customer reviews of e-commerce products to rate the products. It uses text mining and natural language processing techniques like tokenization, lemmatization, and sentiment analysis to extract keywords and determine if reviews have a positive, negative, or neutral sentiment. The system aims to help e-commerce companies improve their products and services based on customer feedback. It collects reviews, cleans the text data, identifies aspects and sentiments, and ranks products based on aspects and review ratings.
Framework for Product Recommandation for Review Datasetrahulmonikasharma
In the social networking era, product reviews have a significant influence on the purchase decisions of customers so the market has recognized this problem The problem with this is that the customers do not know how these systems work which results in trust issues. Therefore a different system is needed that helps customers with their need to process the information in product reviews. There are different approaches and algorithms of data filtering and recommendation .Most existing recommender systems were developed for commercial domains with millions of users. In this paper we have discussed the recommendation system and its related research and implemented different techniques of the recommender system .
Product Quality Analysis based on online ReviewsIJSRD
Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.
Product Quality Analysis based on online ReviewsIJSRD
Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.
Assessment 2:
Description/Focus
Essay
Value
50%
Due Date
Midnight Sunday 2 (Week 12)
Length
2500 words
Task: Human services practitioners work across many domains of practice including direct work with individuals, groups and communities.
1. Critically examine the policy or policies that you consider impact upon a client group and suggest ways that policy could be changed to improve the life outcomes for those with whom you are working.
2. Develop a framework that you would adopt for influencing policy change that aligns with your professional values, standards and ethics.
Presentation: The document will be typed in a word document, 12 pt. Font, 1½ or Double spacing
Assessment criteria:
· Critical analysis of social policy
· Application of theory to practice
· Adherence to academic conventions of writing
(eg referencing; writing style)
· At least 8 references. Format APA 6th referencing.
Running head: NETWORK AND WORKFLOW FOR A DATA ANALYTICS COMPANY 1
NETWORK AND WORKFLOW FOR A DATA ANALYTICS COMPANY 2
Network and Workflow for a Data Analytics Company on Ssports
Student Name Nezar Al Massad
Institution Name Dr. Mark O'Connell
Network and Workflow for a Ddata Analytics Company on Ssports.
A company’s network and workflow play a major roles in its performance and growth. Different companies consist of rely on different networks and workflows depending on the services/tasks they are providing and the number of workers and members of staff. A network tends to connect workers and members of staff at different levels of the company. This network tends to create a good and effective workflow within the company, hence a company network and workflow go hand in hand. When creating a network and a workflow of a company, the workers and members of staff working duration must be considered in order to achieve a company objective (Moretti, 2017).Also, the mode of employment which may be permanent or temporary/laying down of workers within a short period of time, to a large extent determines a company’s network and workflow. The change of an organizational requirement due to growth and expansion creates a need for a company to adapt a new network and workflow. A network in company plays a vital role of guiding how the company should run its operations. Comment by Mark O'Connell: Duration?? Comment by Mark O'Connell: What? Laying down?? Comment by Mark O'Connell: OK so stop educating us about the factors that determine a company’s network and tell us about YOUR network Comment by Mark O'Connell: Too obvious
My company in the world requires data analysts for to perform analysisdata analysis allowing them to and make important strategic decisions and identify opportunities in the market, and therefore data analysts are becoming very important vital to our company. Despite this, there are many companies coming u.
Methods for Sentiment Analysis: A Literature Studyvivatechijri
Sentiment analysis is a trending topic, as everyone has an opinion on everything. The systematic
study of these opinions can lead to information which can prove to be valuable for many companies and
industries in future. A huge number of users are online, and they share their opinions and comments regularly,
this information can be mined and used efficiently. Various companies can review their own product using
sentiment analysis and make the necessary changes in future. The data is huge and thus it requires efficient
processing to collect this data and analyze it to produce required result.
In this paper, we will discuss the various methods used for sentiment analysis. It also covers various techniques
used for sentiment analysis such as lexicon based approach, SVM [10], Convolution neural network,
morphological sentence pattern model [1] and IML algorithm. This paper shows studies on various data sets
such as Twitter API, Weibo, movie review, IMDb, Chinese micro-blog database [9] and more. The paper shows
various accuracy results obtained by all the systems.
Framework for Product Recommandation for Review Datasetrahulmonikasharma
In the social networking era, product reviews have a significant influence on the purchase decisions of customers so the market has recognized this problem The problem with this is that the customers do not know how these systems work which results in trust issues. Therefore a different system is needed that helps customers with their need to process the information in product reviews. There are different approaches and algorithms of data filtering and recommendation .Most existing recommender systems were developed for commercial domains with millions of users. In this paper we have discussed the recommendation system and its related research and implemented different techniques of the recommender system .
Product Quality Analysis based on online ReviewsIJSRD
Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.
Product Quality Analysis based on online ReviewsIJSRD
Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.
Assessment 2:
Description/Focus
Essay
Value
50%
Due Date
Midnight Sunday 2 (Week 12)
Length
2500 words
Task: Human services practitioners work across many domains of practice including direct work with individuals, groups and communities.
1. Critically examine the policy or policies that you consider impact upon a client group and suggest ways that policy could be changed to improve the life outcomes for those with whom you are working.
2. Develop a framework that you would adopt for influencing policy change that aligns with your professional values, standards and ethics.
Presentation: The document will be typed in a word document, 12 pt. Font, 1½ or Double spacing
Assessment criteria:
· Critical analysis of social policy
· Application of theory to practice
· Adherence to academic conventions of writing
(eg referencing; writing style)
· At least 8 references. Format APA 6th referencing.
Running head: NETWORK AND WORKFLOW FOR A DATA ANALYTICS COMPANY 1
NETWORK AND WORKFLOW FOR A DATA ANALYTICS COMPANY 2
Network and Workflow for a Data Analytics Company on Ssports
Student Name Nezar Al Massad
Institution Name Dr. Mark O'Connell
Network and Workflow for a Ddata Analytics Company on Ssports.
A company’s network and workflow play a major roles in its performance and growth. Different companies consist of rely on different networks and workflows depending on the services/tasks they are providing and the number of workers and members of staff. A network tends to connect workers and members of staff at different levels of the company. This network tends to create a good and effective workflow within the company, hence a company network and workflow go hand in hand. When creating a network and a workflow of a company, the workers and members of staff working duration must be considered in order to achieve a company objective (Moretti, 2017).Also, the mode of employment which may be permanent or temporary/laying down of workers within a short period of time, to a large extent determines a company’s network and workflow. The change of an organizational requirement due to growth and expansion creates a need for a company to adapt a new network and workflow. A network in company plays a vital role of guiding how the company should run its operations. Comment by Mark O'Connell: Duration?? Comment by Mark O'Connell: What? Laying down?? Comment by Mark O'Connell: OK so stop educating us about the factors that determine a company’s network and tell us about YOUR network Comment by Mark O'Connell: Too obvious
My company in the world requires data analysts for to perform analysisdata analysis allowing them to and make important strategic decisions and identify opportunities in the market, and therefore data analysts are becoming very important vital to our company. Despite this, there are many companies coming u.
Methods for Sentiment Analysis: A Literature Studyvivatechijri
Sentiment analysis is a trending topic, as everyone has an opinion on everything. The systematic
study of these opinions can lead to information which can prove to be valuable for many companies and
industries in future. A huge number of users are online, and they share their opinions and comments regularly,
this information can be mined and used efficiently. Various companies can review their own product using
sentiment analysis and make the necessary changes in future. The data is huge and thus it requires efficient
processing to collect this data and analyze it to produce required result.
In this paper, we will discuss the various methods used for sentiment analysis. It also covers various techniques
used for sentiment analysis such as lexicon based approach, SVM [10], Convolution neural network,
morphological sentence pattern model [1] and IML algorithm. This paper shows studies on various data sets
such as Twitter API, Weibo, movie review, IMDb, Chinese micro-blog database [9] and more. The paper shows
various accuracy results obtained by all the systems.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/