MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

Search for Tweets and the data labeled with it's Polarity

Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch

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EduSenti: Education Review Sentiment in Albanian

Sentiment Analysis On Financial Tweets

Public Pulse is an AI-driven app, to improvise transparency, communication, network between citizens and the government by collecting the public's opinion and summarizing , acting upon the collective result to address the public more effectively.

Resources generated for the analysis of the HappyDB corpus

Temporal Sentiment Analysis project

Covid Case Tracker vs. Twitter Sentiment Analysis

Exploratory text analytics project to examine cultural trends through analysis of 2016-2017 news articles.

Text Analytics Lab - By Zyduss

Build and deploy a ML model using AWS SageMaker

🛒Sentiment Analysis of Digikala, Artificial Intelligence course, University of Tehran

Arbiter is a webapp designed with the help of sentiment analysis to predict ratings of movies through assessment of reviews provided by users.

US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016 implemented in Java.

Sentiment Analysis Web Application using Flask and ML 🔥

very basic sentiment classification of comments from different sites

This Project is part of my MSc. In Digital Marketing and Data Science Thesis at emlyon business school

Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.