This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

Sentiment analyzer that predicts the review star ( from 0 to 5, continuously) of given food text review.

Course Project | COL772 (NLP) @ IIT Delhi

a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis

Extract reviews of any product from ecommerce website like amazon

🕵️ A website to get and analyse reviews for products

AudioPhil, the shopbot for headphones 🎧

Movie Review Ranking and Sentiment Predictions (Turkish)

Analysis of the Paper White Kindle dataset and Understanding of the Users Rating Distribution. I have tried to Predict Recommend Status based on the subjective review provided by the user

Womens Clothing E-Commerce Reviews Sentiment Analysis

Este trabalho tem como objetivo fornecer ao usuário uma ferramenta que permita a busca por uma lista de estabelecimentos, oferecendo informações importantes e relevantes para que o usuário possa avaliar mais facilmente se o estabelecimento atende às suas necessidades, procurar similares e para realizar pesquisas de mercado.

Movie Review sentiment analysis using imdb review dataset with Sklearn library.

Django app : Gives better rating of Flipkart products using normalized bag-of-words sentimental analysis of Reviews and incorporating star-ratings.

⭐ A classifier built with facebook's fasttext that will input a reviewers text and predict the corresponding star rating.

Product Recommendation & Analysis System using Text Mining and Text Classification. (Supervised and Unsupervised Learning)

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"