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…

Opinion mining of Mobile reviews on Amazon platform

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…

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

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

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

A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.

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

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

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

Convert the text of articles to speech using nltk, newspaper and gTTS with Python.

Graduation Project/Sentiment Analysis in Turkish Film Reviews

Chunking Data techniques in Named Entity Recognition(NER) using NLP libraries and algorithms

This Github repository states that sentiment analysis was performed on the "twitter140" dataset with Logistic Regression method using NLTK for English language.

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Written in Python for SPARK for clustering customer based on geo-location to get various insight about behaviour

My simulated 3D scanned digital avatar

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

Performed text preprocessing, clustering and analyzed the data from different books using K-means, EM, Hierarchical clustering algorithms and calculated Kappa, Consistency, Cohesion or Silhouette for the same.