에어비앤비 텍스트 리뷰 감성 분석
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Updated
Sep 25, 2021 - Jupyter Notebook
에어비앤비 텍스트 리뷰 감성 분석
Semantic analysis of reviews for element coffee using NLP
Semantic analysis of winery customer reviews
Sentiment Analysis for Customer Reviews
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.
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.
This repository contains the sentiment analysis of reviews of Iphone13 using VADER model.
My Capstone Project from GA Sydney
Exploratory sentiment analysis of women's clothing review dataset on Kaggle
Machine Learning Course project UofA
Discover 'Yelp Review Scraper', a smart tool that takes your favorite restaurants and serves up insightful summaries based on Yelp reviews. This automated solution goes beyond simple data collection by generating comprehensive summary reports that help you make more informed dining choices.
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.
NLP
Building better online reviews to empower users
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.
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