binzhouchn/capsule-pytorch
A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)
This project helps businesses understand customer opinions by automatically classifying text data. You input customer feedback, reviews, or social media comments, and it outputs the main topics and the sentiment (positive, negative, or neutral) expressed within each piece of text. It's designed for marketing analysts, product managers, or customer service teams who need to quickly grasp what customers are saying about their products or services.
No commits in the last 6 months.
Use this if you need to categorize large volumes of customer comments and identify underlying themes and sentiments without manually reading every single one.
Not ideal if your primary need is general-purpose text classification beyond sentiment and topic analysis, or if you require advanced capabilities like entity recognition or complex question answering.
Stars
85
Forks
11
Language
Python
License
—
Last pushed
Aug 06, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/binzhouchn/capsule-pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch