This is a implementation of the EMNLP 2014 paper by Y.Kim

Sentiment analysis of 400,000 amazon reviews

X(ex : Twitter) Posts Dangerous Content And Text Classification Using Machine Learning

🎓 Stanford University — visualizing the geographic distribution of Twitter sentiments across the US.

Imdb sentiment analysis using SVM Classifier,implemeted using Django and MySQL database

Flask web app for classification of disaster messages.

Company News Article Extractor

Sentiment Analysis of E-health Trends on Twitter

🎬💬🔍NLP - Analyse des commentaires de spectateurs sur des films pour déterminer s'ils sont positifs ou négatifs

A FastAPI-based REST API for performing sentiment analysis on user reviews, storing results in MongoDB, and providing statistical insights per product.

A Python port of the Fredriksen–Jahren Lexicon Classifier

Sentiment classification using Convolutional Neural Networks + Word Embeddings (Kim 2014)

This project implements an LLM-based classifier that analyzes chatbot conversations to determine sentiment and context.

A sentiment classifier API written in Python. Using Flask for the API and Keras for Machine Learning.

Sentence Sentiment Analysis

Twitter Sentiment Analytics using Apache Spark Streaming APIs and Python

Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.

Polarity Classification of IMDB Movie Reviews using Convolutional Neural Networks

News automation using Google News Python API + sentiment classifier/article summarisation