Notes and solutions to complement the official NLTK book
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Updated
Jan 9, 2021 - Python
Notes and solutions to complement the official NLTK book
YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.
Iron man inspired Personal virtual assistant
Step by step road map to learn and understand Natural Language Processing
Application made for youtube content creators to know their reviews separately as positive and negative comments.
This is a machine learning based sentiment analysis web application using python's nltk library and deployed using flask api on Heroku server.
Sentiment Analysis Python script using NLP (NLTK's VADER model) tool that analyses text data and labels them with sentiment scores.
E-Learning Website using Django
Clever, simple, and intuitive wrapper functionalities for OCRing specific textual materials.
Markify is an open source command line application written in python which scrapes data from your social media accounts and utilises markov chains to generate new sentences based on the scraped data
Guess gender from indian names.
AI Resume Analyser With NLP on Streamlit
Use twitter to get live and trending stock sentiment!
🌍 Language Translation App using AI 🗣️ Real-time translation for Thai & English using CHATGPT , BING CHAT and Gemini . Easy-to-use interface.
WordProcessor
This is a trend trading indicator and alert that utilizes the Traders Dynamic Index (TDI), Price Action Channel (PAC) and Heikin Ashi candles.
A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.
Simple text summarizer for any article using NLTK
jarPhys is an image scraping app intended to scrape and search text data from notes (handwritten & typed) and courseware
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