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

Sentiment analysis of 400,000 amazon reviews

Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.

Movie Review Sentiment Analysis | Built in Flask and Deployed to Docker

Multilingual sentiment analysis and intent classification in Romanian, Bachelors thesis

A web application that uses sentiment analysis to recommend construction service providers and professionals in Kenya.

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

Binary Sentiment Analysis model for classification of movie reviews

A synthetic customer review sentiment dataset for sentiment analysis generated using different AI models.

🎓 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.

A sentiment analysis API server

Tweet sentiment extraction on kaggle

Course project

Sentiment Analysis of E-health Trends on Twitter

This notebook helps to plot emotions of a given article/text excerpt on the basis of emotional scores .It uses a language model to detect emotions and scores them according to their contextual intensity in the provided article.

🎬💬🔍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.

Sentimental classification on sentences based on the IMDb dataset.