NLP
-
Updated
Apr 20, 2017 - Python
NLP
Sentiment Analysis using LSTM model on the smartphone reviews. Which are are scarped from amazon.in .
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Semantic analysis of winery customer reviews
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
Scraping reviews of customer for specific product from e-commerce website like Amazon.com, Flipkart.com
Analysis of the Restaurant reviews by using the Naive Bayes & the Random Forests Algorithms
Exploratory sentiment analysis of women's clothing review dataset on Kaggle
Scraping of Trustpilot reviews, Analysis of the evolution of topics discussed in reviews over time.
Building better online reviews to empower users
에어비앤비 텍스트 리뷰 감성 분석
Semantic analysis of reviews for element coffee using NLP
Sentiment Analysis for Customer Reviews
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.
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 repo contains files for my analysis on disney land visitor reviews using NLP
This repository have a basic idea on how product analysis can be done on amazon using Web Scrapping.
Add a description, image, and links to the reviewsanalysis-nlp topic page so that developers can more easily learn about it.
To associate your repository with the reviewsanalysis-nlp topic, visit your repo's landing page and select "manage topics."