SlideShare a Scribd company logo
1 of 47
NLTK Natural Language Processing made easy Elvis Joel D ’Souza Gopi Krishnan Nambiar Ashutosh Pandey
WHAT: Session Objective ,[object Object]
HOW: Session Layout ,[object Object],[object Object],[object Object],[object Object]
 
Why Python?
Data Structures ,[object Object],[object Object],[object Object],[object Object],[object Object]
List ,[object Object],[object Object],listOfWords = [‘this’,’is’,’a’,’list’,’of’,’words’]  listOfRandomStuff = [1,’pen’,’costs’,’Rs.’,6.50]
Tuple ,[object Object],[object Object],Example:  ( 100 , 10 , 0.01 ,’ hundred ’ ) Number Square root Reciprocal Number in words
Return a tuple ,[object Object],[object Object],[object Object],One very useful situation is  returning multiple values  from a function. To return multiple values in many other languages requires creating an object or container of some type.
Dictionary ,[object Object],[object Object],[object Object],{ 1 : ‘ one ’ ,  2 :  ‘ two ’ ,  3 :  ‘ three ’ }
Sets ,[object Object],[object Object],[object Object],SetOfBrowsers=set([ ‘IE’,’Firefox’,’Opera’,’Chrome’])
Control Statements
Decision Control - If num = 3
Loop Control - While number  = 10
Loop Control - For
Functions - Syntax ,[object Object],[object Object],[object Object],[object Object]
Functions - Example
Modules ,[object Object],[object Object],[object Object]
Import import   math The import keyword is used to tell Python, that we need the  ‘math’ module. This statement makes all the functions in this module accessible in the program.
Using Modules – An Example print  math. sqrt( 100 )   sqrt is a function math is a module math.sqrt(100) returns 10 This is being printed to the standard output
Natural Language Processing (NLP)
Natural Language Processing ,[object Object]
Why NLP ,[object Object],[object Object],[object Object],[object Object],[object Object]
Stemming ,[object Object],[object Object],[object Object]
Part of speech tagging(POS Tagging) ,[object Object],[object Object]
POS tagging - continued ,[object Object],[object Object]
POS Tagging – An Example The   ball   is   red NOUN VERB ADJECTIVE ARTICLE
Parsing ,[object Object]
Parsing– An Example The   boy   went   home NOUN VERB NOUN ARTICLE NP VP The boy went home
Challenges ,[object Object],[object Object]
[object Object],Here goes an example…
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
NLTK Natural Language Toolkit
Design Goals
Exploring Corpora ,[object Object],[object Object]
 
Loading your own corpus ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NLTK Corpora ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computing with Language: Simple Statistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Frequency Plot for 50 Most Frequently Words in  Moby Dick
POS tagging
WordNet Lemmatizer
Parsing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Authorship Attribution An Example
Find nltk @  <python-installation>ibite-packagesltk
The Road Ahead ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Natural Language Processing and Python
Natural Language Processing and PythonNatural Language Processing and Python
Natural Language Processing and Pythonanntp
 
Python interview questions
Python interview questionsPython interview questions
Python interview questionsPragati Singh
 
AN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATION
AN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATIONAN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATION
AN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATIONcscpconf
 
Let’s Learn Python An introduction to Python
Let’s Learn Python An introduction to Python Let’s Learn Python An introduction to Python
Let’s Learn Python An introduction to Python Jaganadh Gopinadhan
 
Python interview questions and answers
Python interview questions and answersPython interview questions and answers
Python interview questions and answersRojaPriya
 
1. python programming
1. python programming1. python programming
1. python programmingsreeLekha51
 
NLP Deep Learning with Tensorflow
NLP Deep Learning with TensorflowNLP Deep Learning with Tensorflow
NLP Deep Learning with Tensorflowseungwoo kim
 
Introduction to Python Pandas for Data Analytics
Introduction to Python Pandas for Data AnalyticsIntroduction to Python Pandas for Data Analytics
Introduction to Python Pandas for Data AnalyticsPhoenix
 
Python Foundation – A programmer's introduction to Python concepts & style
Python Foundation – A programmer's introduction to Python concepts & stylePython Foundation – A programmer's introduction to Python concepts & style
Python Foundation – A programmer's introduction to Python concepts & styleKevlin Henney
 
Python Interview Questions And Answers
Python Interview Questions And AnswersPython Interview Questions And Answers
Python Interview Questions And AnswersH2Kinfosys
 
Nltk:a tool for_nlp - py_con-dhaka-2014
Nltk:a tool for_nlp - py_con-dhaka-2014Nltk:a tool for_nlp - py_con-dhaka-2014
Nltk:a tool for_nlp - py_con-dhaka-2014Fasihul Kabir
 
Introduction to Python
Introduction to Python Introduction to Python
Introduction to Python amiable_indian
 
Sketch engine presentation
Sketch engine presentationSketch engine presentation
Sketch engine presentationiwan_rg
 
Python interview question for students
Python interview question for studentsPython interview question for students
Python interview question for studentsCorey McCreary
 
Python Advanced – Building on the foundation
Python Advanced – Building on the foundationPython Advanced – Building on the foundation
Python Advanced – Building on the foundationKevlin Henney
 
Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3Renyuan Lyu
 
Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3Renyuan Lyu
 
Sk t academy lecture note
Sk t academy lecture noteSk t academy lecture note
Sk t academy lecture noteSusang Kim
 

What's hot (20)

Natural Language Processing and Python
Natural Language Processing and PythonNatural Language Processing and Python
Natural Language Processing and Python
 
PHP
 PHP PHP
PHP
 
Python interview questions
Python interview questionsPython interview questions
Python interview questions
 
AN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATION
AN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATIONAN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATION
AN ADVANCED APPROACH FOR RULE BASED ENGLISH TO BENGALI MACHINE TRANSLATION
 
Let’s Learn Python An introduction to Python
Let’s Learn Python An introduction to Python Let’s Learn Python An introduction to Python
Let’s Learn Python An introduction to Python
 
Python interview questions and answers
Python interview questions and answersPython interview questions and answers
Python interview questions and answers
 
1. python programming
1. python programming1. python programming
1. python programming
 
NLP Deep Learning with Tensorflow
NLP Deep Learning with TensorflowNLP Deep Learning with Tensorflow
NLP Deep Learning with Tensorflow
 
Introduction to Python Pandas for Data Analytics
Introduction to Python Pandas for Data AnalyticsIntroduction to Python Pandas for Data Analytics
Introduction to Python Pandas for Data Analytics
 
Python Foundation – A programmer's introduction to Python concepts & style
Python Foundation – A programmer's introduction to Python concepts & stylePython Foundation – A programmer's introduction to Python concepts & style
Python Foundation – A programmer's introduction to Python concepts & style
 
Python Interview Questions And Answers
Python Interview Questions And AnswersPython Interview Questions And Answers
Python Interview Questions And Answers
 
Nltk:a tool for_nlp - py_con-dhaka-2014
Nltk:a tool for_nlp - py_con-dhaka-2014Nltk:a tool for_nlp - py_con-dhaka-2014
Nltk:a tool for_nlp - py_con-dhaka-2014
 
Introduction to Python
Introduction to Python Introduction to Python
Introduction to Python
 
Sketch engine presentation
Sketch engine presentationSketch engine presentation
Sketch engine presentation
 
Python interview question for students
Python interview question for studentsPython interview question for students
Python interview question for students
 
Python Advanced – Building on the foundation
Python Advanced – Building on the foundationPython Advanced – Building on the foundation
Python Advanced – Building on the foundation
 
Python cheat-sheet
Python cheat-sheetPython cheat-sheet
Python cheat-sheet
 
Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3
 
Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3Py conjp2019 renyuanlyu_3
Py conjp2019 renyuanlyu_3
 
Sk t academy lecture note
Sk t academy lecture noteSk t academy lecture note
Sk t academy lecture note
 

Similar to Natural Language Processing made easy

Pycon India 2018 Natural Language Processing Workshop
Pycon India 2018   Natural Language Processing WorkshopPycon India 2018   Natural Language Processing Workshop
Pycon India 2018 Natural Language Processing WorkshopLakshya Sivaramakrishnan
 
MACHINE-DRIVEN TEXT ANALYSIS
MACHINE-DRIVEN TEXT ANALYSISMACHINE-DRIVEN TEXT ANALYSIS
MACHINE-DRIVEN TEXT ANALYSISMassimo Schenone
 
Natural Language Processing_in semantic web.pptx
Natural Language Processing_in semantic web.pptxNatural Language Processing_in semantic web.pptx
Natural Language Processing_in semantic web.pptxAlyaaMachi
 
AI UNIT 3 - SRCAS JOC.pptx enjoy this ppt
AI UNIT 3 - SRCAS JOC.pptx enjoy this pptAI UNIT 3 - SRCAS JOC.pptx enjoy this ppt
AI UNIT 3 - SRCAS JOC.pptx enjoy this pptpavankalyanadroittec
 
Natural Language processing Parts of speech tagging, its classes, and how to ...
Natural Language processing Parts of speech tagging, its classes, and how to ...Natural Language processing Parts of speech tagging, its classes, and how to ...
Natural Language processing Parts of speech tagging, its classes, and how to ...Rajnish Raj
 
Natural language processing (Python)
Natural language processing (Python)Natural language processing (Python)
Natural language processing (Python)Sumit Raj
 
Open nlp presentationss
Open nlp presentationssOpen nlp presentationss
Open nlp presentationssChandan Deb
 
Text classification-php-v4
Text classification-php-v4Text classification-php-v4
Text classification-php-v4Glenn De Backer
 
Basic of Python- Hands on Session
Basic of Python- Hands on SessionBasic of Python- Hands on Session
Basic of Python- Hands on SessionDharmesh Tank
 
Natural Language Processing using Text Mining
Natural Language Processing using Text MiningNatural Language Processing using Text Mining
Natural Language Processing using Text MiningSushanti Acharya
 
Big data
Big dataBig data
Big dataIshucs
 
Programming Under Linux In Python
Programming Under Linux In PythonProgramming Under Linux In Python
Programming Under Linux In PythonMarwan Osman
 
KiwiPyCon 2014 - NLP with Python tutorial
KiwiPyCon 2014 - NLP with Python tutorialKiwiPyCon 2014 - NLP with Python tutorial
KiwiPyCon 2014 - NLP with Python tutorialAlyona Medelyan
 

Similar to Natural Language Processing made easy (20)

Nltk
NltkNltk
Nltk
 
Pycon India 2018 Natural Language Processing Workshop
Pycon India 2018   Natural Language Processing WorkshopPycon India 2018   Natural Language Processing Workshop
Pycon India 2018 Natural Language Processing Workshop
 
MACHINE-DRIVEN TEXT ANALYSIS
MACHINE-DRIVEN TEXT ANALYSISMACHINE-DRIVEN TEXT ANALYSIS
MACHINE-DRIVEN TEXT ANALYSIS
 
Natural Language Processing_in semantic web.pptx
Natural Language Processing_in semantic web.pptxNatural Language Processing_in semantic web.pptx
Natural Language Processing_in semantic web.pptx
 
BOW.pptx
BOW.pptxBOW.pptx
BOW.pptx
 
NLP PPT.pptx
NLP PPT.pptxNLP PPT.pptx
NLP PPT.pptx
 
AI UNIT 3 - SRCAS JOC.pptx enjoy this ppt
AI UNIT 3 - SRCAS JOC.pptx enjoy this pptAI UNIT 3 - SRCAS JOC.pptx enjoy this ppt
AI UNIT 3 - SRCAS JOC.pptx enjoy this ppt
 
Natural Language processing Parts of speech tagging, its classes, and how to ...
Natural Language processing Parts of speech tagging, its classes, and how to ...Natural Language processing Parts of speech tagging, its classes, and how to ...
Natural Language processing Parts of speech tagging, its classes, and how to ...
 
NLP.pptx
NLP.pptxNLP.pptx
NLP.pptx
 
Natural language processing (Python)
Natural language processing (Python)Natural language processing (Python)
Natural language processing (Python)
 
Open nlp presentationss
Open nlp presentationssOpen nlp presentationss
Open nlp presentationss
 
Text classification-php-v4
Text classification-php-v4Text classification-php-v4
Text classification-php-v4
 
NLP todo
NLP todoNLP todo
NLP todo
 
Basic of Python- Hands on Session
Basic of Python- Hands on SessionBasic of Python- Hands on Session
Basic of Python- Hands on Session
 
Natural Language Processing using Text Mining
Natural Language Processing using Text MiningNatural Language Processing using Text Mining
Natural Language Processing using Text Mining
 
Big data
Big dataBig data
Big data
 
Programming Under Linux In Python
Programming Under Linux In PythonProgramming Under Linux In Python
Programming Under Linux In Python
 
KiwiPyCon 2014 - NLP with Python tutorial
KiwiPyCon 2014 - NLP with Python tutorialKiwiPyCon 2014 - NLP with Python tutorial
KiwiPyCon 2014 - NLP with Python tutorial
 
NLP new words
NLP new wordsNLP new words
NLP new words
 
sadf
sadfsadf
sadf
 

Recently uploaded

How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 

Natural Language Processing made easy