Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.

Scraping reviews of customer for specific product from e-commerce website like Amazon.com, Flipkart.com

Sentiment Analysis using LSTM model on the smartphone reviews. Which are are scarped from amazon.in .

this repo contains files for my analysis on disney land visitor reviews using NLP

Scraping of Trustpilot reviews, Analysis of the evolution of topics discussed in reviews over time.

This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition

NLP

ReviewsScoring is a system that can score and filter reviews from booking-hotels/booking-flats services based on ML and DL approaches.

This project will extract insights from user reviews of European airlines. For NLP analyis, I will models, e.g., TextBlob, VADER, RoBERTa, and Fair framework.

Building better online reviews to empower users

In this project, we will take analyze positive and negative hotel reviews and design a model for inferring positive or negative sentiment given a review. We combine a pretrained BERT lanuguage model and a custom multi-layer perceptron to achieve this.

Sentiment analysis on the reviews of IMDB Dataset of top 1000 movies and tv shows.

Plataforma de feedback con IA para negocios gastronómicos, que analiza opiniones anónimas vía códigos QR para mejorar la experiencia del cliente. mientras obtienen recompensas por dar feedback

에어비앤비 텍스트 리뷰 감성 분석

Semantic analysis of reviews for element coffee using NLP

GCP hosted product for over 1 million movie investors on HSX.com, aiding online movie trading and box-office investments by leveraging Big Data technologies like Hive and Hadoop, and Tableau dashboards

Analysis of the Restaurant reviews by using the Naive Bayes & the Random Forests Algorithms

This repository have a basic idea on how product analysis can be done on amazon using Web Scrapping.