Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
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Updated
Oct 24, 2021 - Jupyter Notebook
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
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
Scraping of Trustpilot reviews, Analysis of the evolution of topics discussed in reviews over time.
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.
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.
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
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.
This repository contains the sentiment analysis of reviews of Iphone13 using VADER model.
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