koushik-elite/Multi-label-text-classification-based-on-Review
Multi label text classification based on Amazon Product Review, Find the topic/area which the review belogs to. Using TfidfVectorizer and LogisticRegression
This helps e-commerce retailers quickly understand customer feedback from Amazon product reviews. You provide raw customer reviews, and it identifies the key topics or areas discussed within each review. This is designed for product managers, customer insights teams, and small business owners who sell products online.
No commits in the last 6 months.
Use this if you need to automatically categorize customer feedback from Amazon reviews to understand product strengths and weaknesses more efficiently.
Not ideal if you need a solution that works across many different review platforms beyond Amazon or requires deep sentiment analysis beyond topic identification.
Stars
13
Forks
4
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/koushik-elite/Multi-label-text-classification-based-on-Review"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
3inchtime/douban_sentiment_analysis
基于朴素贝叶斯实现的豆瓣影评情感分析
MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset...
Robin-WZQ/Text-sentiment-polarity-judgment
基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断（酒店评论语料）
sharmaroshan/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users...
sharmaroshan/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking...