msiddhu/sentiment-analysis_on_phone-reviews

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

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sumitdeole/NLP_models

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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lotfiferaga/Google-Play-Store-Sentiment-Analysis

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.

Language: Python - Size: 10.7 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

farukalamai/Yelp-Restaurant-Reviews

Yelp-Restaurant-Reviews

Size: 4.18 MB - Last synced: 7 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

RAVI-CHANDRIKA-05/ANALYSING_DISNEYLAND_REVIEWS_NLP

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

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jaindivij21/Review-Sentiment-Analysis Fork of Mahaveer1141/thrillo-sentiment

Sentiment Analysis for Customer Reviews

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cxaem/SMBI_Report_iOSApp_ChatGPT

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.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

mragankyadav/Aspect-Based-Sentiment-Analysis

NLP

Language: Python - Size: 1.26 MB - Last synced: 10 months ago - Pushed: about 7 years ago - Stars: 1 - Forks: 4

panagiotisgia/Yelp_Review_Summarization

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.

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adataschultz/Reviews_BoardGames

Examine frequently used words or phrases to characterize the differences in attributes of reviews

Language: Python - Size: 85.6 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

yftah89/ReviewsOverTime

Language: Python - Size: 252 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 2 - Forks: 0

anudeepvanjavakam1/lit_or_not_on_reddit

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

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LeeHwayeon/dl-reviews-sentiment

에어비앤비 텍스트 리뷰 감성 분석

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jeffjohannsen/Predicting_Yelp_Review_Quality

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

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Twinklesahni23/Iphone_Reviews_Sentiment_Reviews_NLP

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

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brash6/TopicModelingTrustpilotReviews

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

Language: Jupyter Notebook - Size: 17 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

algakovic/element_coffee_review_analysis

Semantic analysis of reviews for element coffee using NLP

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Anniejoan/Semantic-Analysis-of-Winery-data

Semantic analysis of winery customer reviews

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Shemka/ReviewsScoring

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

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jamesjakeies/Emotional-analysis-of-Hotel-Reviews

Language: Python - Size: 2.98 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

blumonkey/ML2017

Machine Learning Course project UofA

Language: Python - Size: 1.12 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

BhavyaTeja/ReviewsAnalysis_NLP

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

Language: Python - Size: 25.4 KB - Last synced: about 1 year ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 1