This repository contains project related to Natural Language Processing, along with practical implementation of concepts like python, machine learning, deep learning, lstm and others.

Text Data Preprocessing

NLP Explorer is an interactive Streamlit app that lets users explore various NLP techniques like Tokenization, POS Tagging, Stemming, Lemmatization, and NER. It provides real-time analysis of text, making it a great tool for learning and experimenting with NLP concepts.

Markov Chain based solution for authorship attribution task at PAN 2015

Natural Language Processing @ HackerRank

Sentence chunking and parts of speech tagging for the sentences available in a .csv file

generate json or csv files with words organized by type

Natural Language Processing

This repository aimed at extracting possible titles from the textual information passed in a textual textarea.

English Pos Tagger Implementations

The project uses a single a document as input(.txt) and a compresion ratio as input and generate a files that picks up significant sentences in that order from the document. It uses natural language processing stanford POS tagger and an algoritm that on the basis of similarity and distinctiveness calculates rank of each sentence and based on the…

A Natural Language Processing module using Stanford Core NLP.

Contains relevant notebooks for the hands-on NLP workshop by organized Analytics India Magazine Plugin Conference-2020 Edition

The repository aimed at providing user a functionality of extracting the possible meaningful titles from the mentioned sentence.

This project focuses on text mining "The Big Bang Theory" scripts, covering 10 seasons. Participants preprocess character dialogues, analyzing sentence/word counts, noun/person name mentions, important words per episode/season, and word co-occurrence. (Part of Evaluation of Text Mining-KUL [G00C8a])