This project uses BERT(Bidirectional Encoder Representations from Transformers) for Yelp-5 fine-grained sentiment analysis. It also explores various custom loss functions for regression based approaches of fine-grained sentiment analysis.

Sentiment Analysis of Tweets using Naive Bayes Classifier and Java

Sentigenix is an app which helps you to parse through a particular organisation's twitter page and collect top 1000 tweets and then use the ML model to analyse whether to invest in or not.

Sentiment Analysis of User Reviews

we are building a sentiment classifier, which will detect how positive or negative each tweet is.

Programs I did during my 6th semester at the ESCOM. I took artificial Intelligence at the Computing Research Center (It's not exactly ESCOM)

A simple web app prototype with auth and paywall demo that uses sentiment analysis to rate text reviews on a scale of 1 to 5.

Sentiment analysis with Python as a final project on Coursera

Polarity Classification of IMDB Movie Reviews using Convolutional Neural Networks

Review sentiment analyzer trained on Amazon books reviews

This project is a data analysis (data science) tool with scripts to analyze images and text data and store results in a Microsoft Access database.This project also includes a set of Power BI dashboards that are connected to the database and provide a visual representation of the analyzed data.

Proyecto donde actualizaré modelos de analisis de texto y estructura musical para la clasificación de canciones por su sentimiento

Sentiment Analysis Using Concepts Of NLP In A Big Data Environment

Discord bot that interacts with emotion-detection ML API

Sentiment classifer implemented using Naive Bayes classification techniques

Sentiment classification of live tweets into positive, negative and neutral polarity.

Tweet Sentiment Classifier using Recurrent Neural Networks. This repository provides my solution for the 4th Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.

This repository contains code for sentiment analysis of movie reviews.IMDB dataset is used.

An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.

Sentiment Analysis CLI Tool to analyze text files. Based on the "siebert/sentiment-roberta-large-english" model. Prints out whether text content is "positive" or "negative". (👍🏼 or 👎🏼)