moloud1987/ABCDM
This repository contains the code of the following paper: "Basiri, M. E., Nemati, S., Abdar, M., Cambria, E., & Acharya, U. R. (2021). ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis. Future Generation Computer Systems, 115, 279-294.".
This project helps researchers and data scientists analyze the sentiment of text, such as customer reviews or social media posts. You input text data, and it outputs a classification of the sentiment (positive, negative, or neutral). It's designed for natural language processing practitioners focusing on sentiment analysis tasks.
No commits in the last 6 months.
Use this if you need to accurately determine the emotional tone or sentiment expressed in a collection of text documents, whether they are long reviews or short social media comments.
Not ideal if your primary goal is to extract entities, summarize text, or translate languages, as this tool is specifically for sentiment polarity detection.
Stars
14
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 31, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/moloud1987/ABCDM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
MohammadForouhesh/latent-aspect-detection
Code and models for the paper "Latent Aspect Detection from Online Unsolicited Customer Reviews"
cloudrishi/nlp-sentiment-analyzer
AI-powered sentiment analyzer using RoBERTa NLP model, served via Flask REST API
siddhali24/college-sentiment-analysis-updated
BERT "Brain" + Dataset "Memories" + Django "Voice" = The ultimate tool for College Sentiment Analysis. 🎓⚡
alvaro-frank/sentiment_analysis
A TensorFlow-based Bidirectional LSTM for financial sentiment regression, featuring a...
Ares-Infenus/InsightFlow_NLP
End-to-end NLP system for automated sentiment analysis, named entity recognition, and topic...