Topic: review-analysis Goto Github
Some thing interesting about review-analysis
Some thing interesting about review-analysis
review-analysis,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.
User: ada-k
review-analysis,Analyse amazon reviews' sentiment and store the data in a mariadb database
User: aishik999
review-analysis,Scrape product reviews from e-commerce sites (Amazon as of now) and perform sentimental analysis on them using LLM and prompt engineering
User: aishik999
review-analysis,The goal of this repository is to predict review rates based of the review text using deep learning (Long Short-Term Memory--LSTM).
User: ali-naderi
review-analysis,Opinion classification with kili-technology and huggingface by fine-tuning roBERTa model.
User: alperiox
Home Page: https://kili-technology.com/blog/opinion-classification-with-kili-technology-and-huggingface-automl
review-analysis,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
User: apresswala52
review-analysis,A Simple, Minimal Review Collector
User: azelyfox
review-analysis,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.
User: deepankarvarma
review-analysis,LADy π: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation Augmentation
Organization: fani-lab
review-analysis,Ecommerce analysis
User: jamesli197412
review-analysis,In this project, we have analyzed the amazon alexa customer reviews with the help python libraries.
User: jigzz18
review-analysis,Analysing Amazon customer reviews via Clustering, Visualization and Classification
User: joshivaibhav
review-analysis,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
User: krishnavpai
review-analysis,Get your scrapes in sync
User: lazycodes7
Home Page: https://smartscrapes.herokuapp.com/
review-analysis,2021 Introduction-to-Information-Retrieval-and-Text-Mining Final Project
User: mingmin0101
review-analysis,Game Review Analysis in Steam for 2019 HYU Social Network Analysis and Text Mining Term Project
User: mintplo
Home Page: https://store.steampowered.com/
review-analysis,Code of Play Store Review Analysis Project, and I gained some valuable insights from the play store dataset.
User: mujtabaali02
review-analysis,This has been done as a part of Data Science Career Track Course at Springboard.
User: namikona
review-analysis,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.
User: nayan-pradhan
review-analysis,a Streamlit app that uses the Google Places API to analyze and visualize reviews of various business places across different locations
User: noorulhudaajmal
review-analysis,Extracting e-commerce insights and recommendations from Amazon product reviews using sentiment analysis and issue categorization
User: ornellamariestella
review-analysis,Analysing reviews with the help of NLP
User: rahul221389
review-analysis,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.
User: rahulgaikwad2010
Home Page: https://www.touchnote.com
review-analysis,Sentiment Analysis of Amazon Food Reviews to the customer ratings using VADER, TextBlob and Flair
User: sayantani-dey
review-analysis,An application to provide clients with a onestop, centralized platform to gain a snapshot of their company and competitors, financially, among consumers, and in the media.
User: steffinazareth
review-analysis,A Machine Learning model for sentiment analysis of Amazon reviews that can predict the customer sentiments based on their product reviews
User: techysanjo
review-analysis,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).
User: vaibhavabhimanyoohiwase
review-analysis,Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution
User: vectornguyen76
Home Page: https://hackathon.quynhon.ai/home
review-analysis,2020λ λ λμ±μ¬μλνκ΅ μ£Όκ΄ WISET ICT ν νλ‘μ νΈ 4μ‘°
Organization: wisetict-ppam
review-analysis,MovieSense, an NLP project that provides sentiment analysis, text generation, summarization, and translation services for movie reviews.
User: yjyuwisely
review-analysis,Descriptive and predictive analyses of Amazon Fine Food Reviews dataset.
User: zhiyu-lei
review-analysis,Extract customer reviews from some online stores and classify negative reviews.
User: zhiyu-lei
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