This presentation will help you to understand the basic concepts of Natural Language Processing With this you will understand the significance of Natural Language Processing in our daily life

2. Natural Language Processing
Presented by,
P.Akhil Sai
(18F01A05A5)

3. Table of content
• What is Natural Language Processing
• How Natural Language Processing Works
• Applications of Natural Language Processing
• Some Ambiguities with NLP
• Packages in Python for NLP
• Future of NLP
• Conclusion

4. What is Natural Language Processing
• Generally Computers understand machine language but
it is difficult for the humans to understand it that is why
programming languages are introduced
• Generally we will give commands to the computers in
programming languages to perform specific tasks
• Every Software or Application that we are using today is
made up of programming languages and they provide
User Interface through which you can access it easily
• Natural Language Processing is a sub branch of Artificial
Intelligence which can extract the meaning from human
language and text written in human languages

5. How Natural Language Processing Works

6. Working of Voice Recognition
Taking input from the user Assembling the predicted output

7. Final predicted output

8. Applications Of NLP
• Big Data Analytics &Sentiment analysis
• A.I Keyboard
• Mobile Assistants
• Chatbots
• Home Assistants
• Automobiles

9. Big Data Analytics& Sentiment analysis

10. Types of Big Data
->In terms of Statistics the data is divided into two types
1.Structured data 2.Unstructured data
->But most of the data is present in Unstructured format but
Computers can only process data present in structured format
->NLP is used to analyse large amount of Unstructured Big Data
and it will extract meaning from the data and it will process it

11. Sentiment Analysis
->When a company releases a product it will take review
from the public through different platforms
->This data will be present in Unstructured format NLP will
extract meaning from their reviews and it will process it
->So in this way companies will make products according to
users utility

12. A.I Keyboard

13. Automatic predictions on recent search history
Google g board

14. Automatic error correction on Grammarly keyboard

15. Mobile Assistants

16. Opening Google Assistant

18. ->Google Duplex is an advanced mobile assistant,it can book
reservations for hotel room or any bussiness appointments
->Google Duplex will make a call by itself and it will talk to the
receptionists and it will convince them to allot reservations

19. Siri in iPhone Cortana in Windows10

20. Chatbots

21. Chatbot
->Chatbot is a computer program designed to simulate conversation
with human users over Internet by a company’s product service
department
->It is an assistant that communicates with us through text messages
and it helps entrepreneurs to get closer to customers

22. Some chatbots in
Facebook Messenger
Different types of Chatbots

23. Home Assistants

24. Voice control Home Automation

25. Automobiles

26. Voice Control Self-Driving Cars

27. Some Ambiguities with NLP

28. Syntactical Ambiguity

29. It cannot understand our emotions

30. Some Packages in Python for NLP
• Natural Language Toolkit(NLTK)
• TextBlob
• CoreNLP
• Gensim
• SpaCy
• Polyglot
->Using these packages in Python you can build your own chatbots in
Watson Studio which is a part of IBM Watson API

31. Future of NLP

32. ->If you wear medical sensors they will record your body
metabolism this data will be received by smart assistants
->It will analyse your health condition it will suggest you
some measures to improve your health and it reduces the
chance of getting diseases

33. Conclusion
• Natural Language Processing is helping us in so
many fields
• As applications of NLP are increasing before
installing them you should know whether they are
any vulnerabilities in those devices which can harm
our privacy