JamesLi197412/eCommerce_analysis

Ecommerce analysis from various dimensionals

Language: Python - Size: 214 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 0

alperiox/review-classification-kili-hf-automl

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

Language: Jupyter Notebook - Size: 23.2 MB - Last synced: 16 days ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

AISHIK999/e-commerce-review-analysis

Language: Python - Size: 18.6 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

fani-lab/LADy

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

Language: Python - Size: 325 MB - Last synced: 29 days ago - Pushed: 3 months ago - Stars: 3 - Forks: 3

vectornguyen76/QN-Hackathon-CTA-Matrix

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

Language: Python - Size: 60 MB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 9 - Forks: 0

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).

Language: Python - Size: 12.5 MB - Last synced: 3 months ago - Pushed: almost 6 years ago - Stars: 26 - Forks: 14

lazyCodes7/SmartScrapes

Get your scrapes in sync

Language: CSS - Size: 5.35 MB - Last synced: 5 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 5.08 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

seunginhwang/OUTTA_Bootcamp

Language: Python - Size: 5.86 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

abhishtagatya/rebyu

🌟 Review Analysis Made Easy

Language: Python - Size: 268 KB - Last synced: 16 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 11.6 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.78 MB - Last synced: 22 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

mujtabaali02/Play-Store-Review-Analysis

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

Language: Jupyter Notebook - Size: 27.5 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

AzelyFox/Reviewer 📦

A Simple, Minimal Review Collector

Language: PHP - Size: 98.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

joshivaibhav/AmazonCustomerReview

Analysing Amazon customer reviews via Clustering, Visualization and Classification

Language: Python - Size: 29.2 MB - Last synced: 11 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

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.

Language: HTML - Size: 846 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 1 - Forks: 2

2017100898/foldable_phone

QFD를 이용한 폴더블 스마트폰 추후 모델 예측 📱

Language: Jupyter Notebook - Size: 16.7 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

Zhiyu-Lei/Amazon_Fine_Food_Review_Score_Prediction

Descriptive and predictive analyses of Amazon Fine Food Reviews dataset.

Language: Jupyter Notebook - Size: 420 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

GaoDeBuChou/Web_Scraping_Customer_Reviews Fork of Zhiyu-Lei/Web_Scraping_Customer_Reviews

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

Language: Python - Size: 92.8 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

Zhiyu-Lei/Web_Scraping_Customer_Reviews

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

Language: Python - Size: 92.8 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

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.

Language: Jupyter Notebook - Size: 125 MB - Last synced: 11 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

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

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

Size: 638 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

mintplo/steam-game-review-analysis

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

Language: Python - Size: 4.27 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

ada-k/Sentiment-Analysis-Amazon-Musical-Instruments-88.9-

Review Analysis (NLP) of musical instrument reviews from the amazon dataset. Observing performances of Linear SVC, NaiveBayes (MultinomialNB) , Random Forest Classifier and Logistic Regression under use of Count and tf-idf vectorizers.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 1