MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
This project helps developers evaluate and compare different deep learning models for sentiment analysis on text data. It takes raw text reviews, specifically Amazon product reviews, and categorizes each as either positive or negative. The primary user is a machine learning engineer or data scientist interested in natural language processing model performance.
No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking to implement and benchmark various recurrent and convolutional neural network architectures for sentiment analysis.
Not ideal if you are a business user looking for a ready-to-use sentiment analysis tool without needing to write code or understand model architectures.
Stars
54
Forks
18
Language
Python
License
—
Category
Last pushed
Sep 21, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data"
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
sharmaroshan/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking...
sharmaroshan/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users...
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）
0x01h/hepsiburada-review-scraper
Hepsiburada review/comment and rating scraper. Turkish text dataset creator for data science and...