keishinkickback/Pytorch-RNN-text-classification
Word Embedding + LSTM + FC
This tool helps you automatically sort short pieces of text into predefined categories. You provide the text you want to classify, like social media posts, product reviews, or customer inquiries, and the system assigns each piece to the most relevant category. It's ideal for anyone who needs to quickly organize and understand large volumes of brief text inputs without manual effort, such as social media managers or customer support analysts.
161 stars. No commits in the last 6 months.
Use this if you need to automatically categorize short text snippets into distinct groups, such as assigning topics to user comments or routing customer service messages.
Not ideal if you're working with very long documents, need to understand complex sentiment, or are trying to extract specific entities from text.
Stars
161
Forks
36
Language
Python
License
—
Last pushed
Jul 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/keishinkickback/Pytorch-RNN-text-classification"
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
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch