NLP Project List with Abstract and Source Code - 21/22
An attribute of computer science called Natural Language Processing (NLP) falls under the category of Artificial Intelligence. The main purpose of NLP is to make computers understand spoken words in the same way that humans do. The use of NLP is a key factor of pc applications that translate texts among languages, reply to spoken commands, and summarize big volumes of text hastily – even in real time – for the benefit of customers. You can have become acquainted with NLP through voice-activated gps systems, digital assistants, speech-to-textual content dictation software, and customer support chatbots. As well as streamlining commercial enterprise operations, increasing employee productiveness, and simplifying task-essential business procedures, nlp has advanced into a developing a part of company solutions.
We have selected quite interesting projects in Machine Learning & Artificial Intelligence and tried to explain each project in detail with step by step execution where every individual irrespective of their educational background can learn and execute this projects by themselves.
Project List with Step by Step execution
| S.No | Project Code | NLP Projects | Action |
|---|---|---|---|
| 1 | TYTNLP1001 | Conversational Chatbot using ML and NLP with Front End Framework | DETAILS |
| 2 | TYTNLP1002 | Resume Parser using Spacy NLP Library with Streamlit Integrated | DETAILS |
| 3 | TYTNLP1003 | Sentiment Analysis of a people using Tweets made by user about Airlines | DETAILS |
| 4 | TYTNLP1004 | Converting words to numbers using gensim word2vec (amazon cell phone and accesories dataset) | DETAILS |
| 5 | TYTNLP1005 | Converting words to numbers using gensim word2vec (sports and outdoors dataset) | DETAILS |
| 6 | TYTNLP1006 | Fake News Classification using LSTM | DETAILS |
| 7 | TYTNLP1007 | Movie Recommendation Engine with Streamlit Web Framework | DETAILS |
| 8 | TYTNLP1008 | Building a Chatbot (Add intents as your wish) | DETAILS |
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Time is a dependent factor. If we're going with a basic one it will take 2-3 days, for moderate level it will be 7-10 days, for Master's or Research level projects time taken is 30-45 days.
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