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sentiment-classification
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Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Baidu's open-source Sentiment Analysis System.
Transformers 库快速入门教程
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
A list of NLP(Natural Language Processing) tutorials
Text classification using deep learning models in Pytorch
Repository with all what is necessary for sentiment analysis and related areas
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Attention-based multimodal fusion for sentiment analysis
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL-2022.
Archived - not answering issues
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
LSTM and CNN sentiment analysis
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
Keras Implementation of Aspect based Sentiment Analysis
Your Advanced Twitter stalking tool