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.
Get your scrapes in sync
Code of Play Store Review Analysis Project, and I gained some valuable insights from the play store dataset.
Sentiment Analysis of Amazon Food Reviews to the customer ratings using VADER, TextBlob and Flair
Extract customer reviews from some online stores and classify negative reviews.
This has been done as a part of Data Science Career Track Course at Springboard.
In this project, we have analyzed the amazon alexa customer reviews with the help python libraries.
QFD를 이용한 폴더블 스마트폰 추후 모델 예측
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.
Analysing reviews with the help of NLP
Analyse amazon reviews' sentiment and store the data in a mariadb database
The goal of this repository is to predict review rates based of the review text using deep learning (Long Short-Term Memory--LSTM).
Descriptive and predictive analyses of Amazon Fine Food Reviews dataset.
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
Opinion classification with kili-technology and huggingface by fine-tuning roBERTa model.
Extract customer reviews from some online stores and classify negative reviews.
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