csbanon/bert-product-rating-predictor
The BERT Product Rating Predictor is a natural language processing model based on the Bidirectional Encoder Representations from Transformers (BERT) model developed to predict star ratings for textual product reviews. 2020.
No commits in the last 6 months.
Stars
7
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 06, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/csbanon/bert-product-rating-predictor"
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
danielegrattarola/twitter-sentiment-cnn
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment...
jerbarnes/semeval22_structured_sentiment
SemEval-2022 Shared Task 10: Structured Sentiment Analysis
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...
latishab/turnsense
A lightweight end-of-utterance detection model fine-tuned on SmolLM2-135M, optimized for...