review-analysis

There are 0 repository under review-analysis topic.

• VaibhavAbhimanyooHiwase / Sentimental_Analysis_using_Opinion_Target_and_Opinion_Words

  This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

  natural-language-processingopinion-miningopinion-target-extractionopinion-word-extractionsentimental-analysisamazon-reviewsreview-sentimentsreview-analysistextblob-sentiment-analysis
  Language:Python 30

• vectornguyen76 / QN-Hackathon-CTA-Matrix

  Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution

  hackathon2022phobertreview-analysis
  Language:Python 10

• fani-lab / LADy

  LADy 💃: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation Augmentation

  aspect-detectionreview-analysis
  Language:Python 5

• apresswala52 / Amazon-Fine-Foods-Review-Analysis-and-Modelling

  The Amaon Fine Foods Review dataset consists of reviews of fine foods from Amazon. There are approximate 500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. The Aim of this case study was to predict the polarity of the reviews ie. positive/negative. I have applied various Machine Learning Techniques & Algorithms and documented the results accordingly

  amazoncase-studymachine-learning-algorithmsreview-analysissentiment-analysis
  Language:Jupyter Notebook 4

• mintplo / steam-game-review-analysis

  Game Review Analysis in Steam for 2019 HYU Social Network Analysis and Text Mining Term Project

  text-miningpythonsteamreview-analysis
  Language:Python 4

• nayan-pradhan / AmazonReviewAnalysis_NLP

  This project uses Machine Learning, Natural Language Processing (NLP), and Web Scraping in order to get real customer reviews for any product on Amazon and perform sentiment analysis that predicts whether the reviews are positive or negative.

  mlnlpnlp-machine-learningsentiment-analysiswebscrapingweb-scrapingamazonreview-analysis
  Language:Jupyter Notebook 3

• alperiox / review-classification-kili-hf-automl

  Opinion classification with kili-technology and huggingface by fine-tuning roBERTa model.

  machine-learningdeep-learningpytorchreview-analysisnlp
  Language:Jupyter Notebook 1

• AzelyFox / Reviewer

  A Simple, Minimal Review Collector

  review-analysisreview-tools
  Language:PHP 1

• deepankarvarma / Ratings-Prediction-from-Reviews-Using-Classification

  This repository contains the code for a rating review classification project that was submitted for the Kaggle Wars competition hosted by ACM Thapar. The project aims to classify reviews based on their rating, using data pre-processing and a convolutional neural network (CNN) model.

  classificationcnnconvolutional-neural-networksdata-preprocessingdata-sciencedeep-learningkagglekaggle-competitionmachine-learningnatural-language-processingpycaretpythonsentiment-analysismulti-class-classificationreviewreview-analysis
  Language:Jupyter Notebook 1

• JamesLi197412 / eCommerce_analysis

  Ecommerce analysis

  powerbiclassificationdata-analysisnetwork-analysispython3review-analysisdata-visualsationnpltableau
  Language:HTML 1

• joshivaibhav / AmazonCustomerReview

  Analysing Amazon customer reviews via Clustering, Visualization and Classification

  svm-classifierclusteringreview-analysisamazon-review-datasettableaupythonsklearn
  Language:Python 1

• krishnavpai / Sentiment-Analysis-Word-Cloud-and-Topic-Modelling-on-customer-reviews-of-FMCG-products-in-India

  This project aims to analyze consumer sentiment towards (FMCG) company products by scraping reviews & performing text analysis using Python. By leveraging NLP techniques, such as sentiment analysis, word cloud and topic modelling. The results of this study can inform product development, marketing strategies & overall business decision-making

  customer-reviewsjupyter-notebooklatent-dirichlet-allocationreview-analysisreview-datasetscrapingsentiment-analysistext-analyticstopic-modelingwordcloud
  Language:Jupyter Notebook 1

• Md-Emon-Hasan / ML-Project-Sentiment-Analysis-of-Amazon-Fine-Food-Reviews

  💬 It uses NLP techniques to classify reviews as positive, neutral or negative, providing valuable insights into customer feedback.

  customer-feedbackedamachine-learningnatural-language-processingnatural-language-processing-nlpnlpnlp-machine-learningreview-analysistext-classificationtext-classification-python
  Language:Jupyter Notebook 1

• mingmin0101 / Mining-User-Requirements-from-Online-Reviews

  2021 Introduction-to-Information-Retrieval-and-Text-Mining Final Project

  information-retrievaltopic-extractionreview-analysissentiment-analysiskano-model
  1

• nifleisch / lauzhack-amazon-reviews

  Framework for mining and analyzing issues from product reviews and interactive visualisation using plotly dash. Finalist project at Lauzhack 2023.

  amazondata-analysisdata-visualizationembeddingskaggle-datasetlauzhack2023llmopenai-apiplotly-dashregression-analysisreview-analysistsne
  Language:Python 1

• rahulgaikwad2010 / touch-note-app-review-classification-web-app

  An AI solution which cognitively able to detect(classify) reviews in fractions of seconds. hence, fewer human interventions, more precise, uniform results, and most importantly operational efficiency.

  python3classificationsentiment-analysismachine-learningnlpkubernetesdockerreview-analysisrest-apidockerfiledocker-imageyamlkubernetes-deployment
  Language:HTML 1

• techysanjo / AmazonReviews_SentimentAnalysis_FineTune_BERT

  A Machine Learning model for sentiment analysis of Amazon reviews that can predict the customer sentiments based on their product reviews

  bert-fine-tuningbert-modelnlpnlp-deep-learningpytorch-nlpreview-analysistensorwordcloud
  Language:Jupyter Notebook 1

• Zhiyu-Lei / Web-Scraping-Customer-Reviews

  Extract customer reviews from some online stores and classify negative reviews.

  review-analysisselenium-webdriverwebscraping
  Language:Python 1

• AISHIK999 / amazon-review-analyzer-db

  Analyse amazon reviews' sentiment and store the data in a mariadb database

  amazonnatural-language-processingnlp-machine-learningpythonpython3reviewreview-analysis
  Language:Python 0

• AISHIK999 / e-commerce-review-analysis

  Scrape product reviews from e-commerce sites (Amazon as of now) and perform sentimental analysis on them using LLM and prompt engineering

  amazonanalysisgeminigenerative-aigoogle-geminireviewreview-analysisselenium
  Language:Python 0

• mujtabaali02 / Play-Store-Review-Analysis

  Code of Play Store Review Analysis Project, and I gained some valuable insights from the play store dataset.

  data-analysisplay-storereview-analysisvisualizations
  Language:Jupyter Notebook 0

• noorulhudaajmal / BizReview-Analyzer

  a Streamlit app that uses the Google Places API to analyze and visualize reviews of various business places across different locations

  google-places-apigoogle-reviewsreview-analysis
  Language:Python 0

• ornellamariestella / Amazon-reviews-scraping-and-sentiment-analysis

  Extracting e-commerce insights and recommendations from Amazon product reviews using sentiment analysis and issue categorization

  beautifulsoupbert-modele-commercekeywords-extractionreview-analysisscrapingseleniumsentiment-analysisuser-feedbackwordcloud-visualization
  Language:Jupyter Notebook 0

• sayantani-dey / NLP-Analysis-Of-Amazon-Food-Reviews

  Sentiment Analysis of Amazon Food Reviews to the customer ratings using VADER, TextBlob and Flair

  flairreview-analysissentiment-analysisstar-ratingtextblobvader-sentiment-analysis
  Language:Jupyter Notebook 0

• seunginhwang / OUTTA_Bootcamp

  cosmeticsdata-sciencedataanalysisdatacrawlingdataengineeringoliveyoungreviewreview-analysisreview-toolsjupyter-notebookpython
  Language:Python 0

• Shefali-Upadhyaya / buy-advisor

  The ICDE-BuyAdvisor website is a user-friendly solution to help the buyers decide whether to buy products by evaluating the product reviews for them using web scraping and machine learning techniques. Once the evaluation is completed, the product analysis is shared with the buyer.

  amazonamazon-product-reviewsmachine-learningproduct-analysisproduct-review-analyzerreview-analysisweb-scraping
  Language:Python 0

• ThakkarVidhi / restaurant-review-analysis

  Insight Platter: A comprehensive platform offering actionable insights from restaurant reviews through web scraping, sentiment analysis, and data visualization.

  customer-insightsdata-sciencedata-visualizationflaskmachine-learningnatural-language-processingnltknumpyopentablepandasplotlyrestaurant-reviewsreview-analysissentiment-analysissmotetext-analysisweb-scrappingdynamic-model-selection
  Language:Python 0

• yjyuwisely / MovieSense_NLP

  MovieSense, an NLP project that provides sentiment analysis, translation, summarization, and text generation services for movie reviews.

  review-analysis
  Language:Python 0

• Zhiyu-Lei / Amazon-Fine-Food-Review-Score-Prediction

  Descriptive and predictive analyses of Amazon Fine Food Reviews dataset.

  review-analysistext-mining
  Language:Jupyter Notebook 0

• Armanx200 / Amazon-Reviews

  🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 91.22% accuracy! 🚀

  aiapparman-kianianclassifierdata-miningdata-sciencedeep-learninglogistic-regressionmachine-learningmodel-accuracynatural-language-processingnlppythonreal-time-classificationreview-analysisscikit-learnsentiment-analysissentiment-predictiontext-classificationtfidf
  Language:Python

• Armanx200 / ChatGPT-Reviews

  🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 91.51% accuracy! 🚀

  aiapparman-kianianclassifierdata-miningdata-sciencedeep-learninglogistic-regressionmachine-learningmodel-accuracynatural-language-processingnlppythonpython-scriptreview-analysisscikit-learnsentiment-analysissentiment-predictiontext-classificationtfidf
  Language:Python

• Armanx200 / Netflix-Reviews

  🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 86.80% accuracy! 🚀

  aiapparman-kianianclassifierdata-miningdata-sciencedeep-learninglogistic-regressionmachine-learningnatural-language-processingnlppythonpython-scriptreal-time-classificationreview-analysisscikit-learnsentiment-analysissentiment-predictiontext-classificationtfidf
  Language:Python

• Armanx200 / Spotify-Reviews

  🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 88.15% accuracy! 🚀

  aiapparman-kianianclassifierdata-miningdata-sciencedeep-learninglogistic-regressionmachine-learningnatural-language-processingnlppythonpython-scriptreal-time-classificationreview-analysisscikit-learnsentiment-analysissentiment-predictiontext-classificationtfidf
  Language:Python

• ChanMeng666 / customer-insight

  【Star us if you're awesome!⭐️】A comprehensive customer review analysis system that provides deep insights through sentiment analysis, keyword extraction, topic modeling, and interactive visualizations. Built with Python and Streamlit, optimized for Chinese text with English language support.

  chinese-nlpcustomer-insightsdata-visualizationreview-analysissentiment-analysisstreamlittext-analysistopic-modelingmachine-learningnlppython
  Language:Python

• lazyCodes7 / SmartScrapes

  Get your scrapes in sync

  nltk-libraryreview-analysisplotlyjsmorris-chartsd3jsnatural-language-processing
  Language:CSS

• nlp4se / app_data_repository

  MApp-KG: A Java-based API that connects to GraphDB, performing repository operations while also analyzing data and extracting summaries for insights

  emotion-classificationfeature-extractiongraph-databaseknowledge-graphpolarity-classificationre-minerre-miner-ecosystemreview-analysis
  Language:Java