A project on scraping and analyzing Google Maps reviews from universities under APERTI BUMN using topic modeling (LDA) to uncover dominant discussion themes among students and visitors.

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 .

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

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

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

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

NLP

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

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.

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

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

End-to-End Customer Review Analysis Pipeline : Scrape, process, and analyze customer reviews from Trustpilot using Apache Airflow and Python | Interactive Dash Dashboard : Visualize sentiment, trends, and textual insights with a dynamic, Dockerized Dash app.

Perform sentiment analysis on Google Play Store reviews using Python. Analyze user feedback to determine the overall sentiment (positive, negative, or neutral) towards various apps. Gain insights to aid developers and businesses in understanding user satisfaction levels and improving their products.

This repository contains the sentiment analysis of reviews of Iphone13 using VADER model.

Aspect-Based Sentiment Analysis (ABSA) API which take text reviews or file reviews then extract aspects and sentiments using BERT model

Analyzed user sentiment for ChatGPT's new chat history feature. Found unexpected decrease in positive feedback, especially around data privacy. Highlights need for user-centered AI innovation.