nltk-library

The hands-on NLTK tutorial for NLP in Python

Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactiv…

A model which uses your social media posting predict your MBTI personality type.

Opinion mining of Mobile reviews on Amazon platform

This streamlitapp is built for employers looking to match best candidate resumes against a particular job description.

An introduction to Natural Language processing using NLTK with python.

UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time

This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based approach for extracting sentiments from tweets was implemented. Various supervised machine learning approaches were tested using scikit-learn libraries in python and implemented Decision Trees and Naive Bayes tec…

Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.

Provides the tools needed to mine text from The New York Times online articles by using Python and a dictionary text mining technique, given a time range and country of interest.

Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek

STeM is a text mining tool to help scientists and researchers evaluate new papers in their area of interest. The program was born out of a desire to easily analyze scientific papers and to help scientists or researchers to decide whether the paper is interesting or not.

Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.

UTrack analyses the user's tweets and finds the level of Loneliness, Stress, and Anxiety, and their trends over time

☕ Automatic tagging for coffee reviews using SCAA flavor wheel standardized tags 🤖☕

Ever wondered what players really think about a game before you dive in? This project does just that! By scraping Steam game reviews, we not only gather user feedback but also run some sentiment analysis to understand if the community is loving it or hating it.

This repository is on the collection of comments from Reddit and how to work with those comments to perform sentiment analysis.

Imaging Captioning using VGG16

Raspando o site www.letras.mus.br em busca de letras musicais (scraping e crawling).

This project is a comprehensive collection of NLP techniques, practical Python code, and real-world text processing workflows — designed for learners who want to master NLP fundamentals and apply them in AI/ML projects.