helpfulness prediction online product review

Reference implementation of product reviews using Episerver Social

this is my repository for Amazon review helpfulness prediction model

Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.

System for irony detection in product reviews

A web application to share reviews on services and products by consumers. Here consumers could post, search and read reviews in an organized and optimized way. It was helpful to get an insight over a service or product before availing it. It was a part of a citizen involvement experiment. We tested the application at the campus of LUT, FInland.

Using a product review dataset to 1. create a chatbot that conducts analysis on command, 2. create predictive models to construct a consumer chatbot to enhance the review giving process and 3. Use feature engineering to extract aspects or unique and most relevant feedback from positive and negative reviews

Opinion Extraction based on Amazon Reviews

We employ a text content analysis framework that has been successful in other studies to identify important features of automobile service parts

Implementation of machine Learning algorithms to perform analysis like- Predictive and Sentiment analysis.

Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews.

👩‍💻“Don’t do it for the money, do it because you love it!”Sound familiar?⏳ Sounds great, right?📡

Sentiment analysis with ML to classify customers purchase reviews

This repository have a basic idea on how product analysis can be done on amazon using Web Scrapping.

Fera.ai Magento 2 Extension

The system deletes fake reviews on products and rates a product automatically based on customer reviews

Fall 2020 DS4A Project: AWS

Investigated whether Vine reviews are free of bias using SQL and ETL skills to analyze the data.

An automatically annotated sentiment analysis dataset of product reviews in Russian.

Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.