Aspect-level-sentiment
Aspect classifier
Provides code and dataset for training aspect-level sentiment classification models using document knowledge
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"
148 stars
4 watching
32 forks
Language: Python
last commit: over 6 years ago aspect-based-sentiment-analysisknowledge-transfer
Related projects:
Repository | Description | Stars |
---|---|---|
kevincobain2000/sentiment_classifier | A Python library for sentiment analysis using word sense disambiguation and machine learning algorithms. | 172 |
ibm/max-text-sentiment-classifier | Detects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset. | 58 |
baidu/senta | An open-source sentiment analysis system that provides pre-trained models and tools for text classification, aspect-level sentiment analysis, and opinion extraction. | 1,911 |
neuro-inc/ml-recipe-hier-attention | An implementation of a neural network architecture for sentiment classification using hierarchical attention mechanisms. | 2 |
haoopeng/cnn-yelp-challenge-2016-sentiment-classification | This repository trains a Convolutional Neural Network to classify customer reviews based on their sentiment. | 109 |
nvidia/sentiment-discovery | Large-scale unsupervised language modeling for robust sentiment classification and related NLP tasks | 1,062 |
sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
eaigner/shield | A flexible Bayesian text classifier with backend storage support | 158 |
ebanalyse/senda | A tool for fine-tuning transformer models for text classification tasks | 19 |
barissayil/sentimentanalysis | A sentiment analysis tool trained on the Stanford Sentiment Treebank using various neural network architectures. | 364 |
jagerv3/sentiment_analysis_thai | Analyzes sentiment in Thai text using machine learning algorithms and natural language processing techniques. | 12 |
poltextlab/sentiment_hun | A tool for analyzing the sentiment of Hungarian news articles based on word embeddings and dictionaries. | 1 |
ibm/max-resnet-50 | An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset. | 14 |
dinopuguh/gosentiwordnet | Analyze sentiment in text using a pre-defined lexicon of words with their associated emotional connotations. | 10 |
poltextlab/hunempoli_corpus | A manually annotated corpus for training and testing machine learning models of Aspect Based Sentiment Analysis (ABSA) in Hungarian language. | 0 |