Lan-ce-lot/pythorch-text-classification
对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1
This project helps you automatically categorize text reviews as either positive or negative. It takes raw review text, like movie comments, and outputs an sentiment classification. This would be useful for a market researcher or product manager wanting to understand customer feedback at scale.
170 stars. No commits in the last 6 months.
Use this if you need to quickly assess the overall sentiment of a large volume of unstructured text feedback.
Not ideal if you require a nuanced understanding of emotions beyond simple positive/negative or need to classify text into many different categories.
Stars
170
Forks
10
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Lan-ce-lot/pythorch-text-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
IBM/MAX-Text-Sentiment-Classifier
Detect the sentiment captured in short pieces of text
giuseppebonaccorso/twitter_sentiment_analysis_word2vec_convnet
Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network
pabitralenka/Customer-Feedback-Analysis
Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec...
danielegrattarola/twitter-sentiment-cnn
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment...
hpanwar08/sentiment-analysis-torchtext
Seniment Analysis in Torchtext