bywords/directed_sentiment_analysis
Dataset and code for directed sentiment analysis in news text.
This project helps political analysts, journalists, and public relations professionals understand sentiment relationships between political entities in news. It takes a news sentence as input and determines if one entity expresses a positive, negative, or neutral opinion towards another. The output is a clear classification of the sentiment's direction and polarity between two identified entities.
No commits in the last 6 months.
Use this if you need to precisely identify who is expressing sentiment about whom in news articles, particularly within a political context.
Not ideal if your primary goal is general sentiment analysis of a document without needing to track specific entity-to-entity interactions.
Stars
16
Forks
—
Language
Python
License
—
Category
Last pushed
Jun 02, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/bywords/directed_sentiment_analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ScalaConsultants/Aspect-Based-Sentiment-Analysis
💠Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
cleopatra-itn/fair_multimodal_sentiment
Code and Splits for the paper "A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment...
mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT
Finetuning BERT in PyTorch for sentiment analysis.
sampathkethineedi/bert-topic-sentiment
Topic Based Sentiment Detection using BERT