Sentiment analyzer for your tweets.

Full stack application build with Tensorflow, FastAPI and ReactJS to predict sentiment of entered azerbaijani sentences

💬 Sentiment analyzer library using SentiWordnet in Go

A hybrid NLP engine utilizing rule-based linguistic patterns and neural network classification for precise sentiment quantification.

A Sentiment Analyzer for a set of Hotel Reviews using Naive Bayes Algorithm

Telegram Bots for your Daily AI needs, deployed on heroku using Dockerfiles and Docker Images.

I have implemented Multi Layer Perceptron model to learn and predict the sentiment of sentence written in Azerbaijani. In order to perform this sentiment task, we use a mixture of baseline machine learning models and deep learning models to learn and predict the sentiment of binary reviews.

Sentiment Analysis using VADER. Implemented in AngularJS (1.6)

Class Project - Twitter Stream Listener, Sentiment Analyzer, SNS Publisher

A sentiment analyzer for real-time feeds on Twitter.

🚀 Analyze sentiment in real-time and receive emoji recommendations to enhance communication clarity and engagement.

A test sentiment analyzer using VADER library

A sentiment analyzer for text and articles using TensorFlow's toxicity model.

A repository for the Modern Java Technologies Course @ FMI

Sentiment Analyzer | ACM Month of Code

Java sentiment analyzer for movie reviews, capable of automatically determining the degree of positivity expressed in free-form text. Homework II solution for course Modern Java Technologies, FMI, 2023.

This project is an interactive NLP-powered dashboard built with Streamlit that performs sentiment analysis on a dataset of text reviews. The app classifies each text as Positive, Neutral, or Negative, visualizes the results, and allows real-time sentiment detection via user input.

💬 Analyze customer feedback in real-time with NLP and deep learning, offering insights through interactive visualizations and multi-language support.