基于电影评论数据的中文情感分析(含训练数据、验证数据) Machine Learning and Deep Learning implementations.
☆83Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for ChineseSentimentAnalysis
Users that are interested in ChineseSentimentAnalysis are comparing it to the libraries listed below
Sorting:
- 机器学习方法进行中文电影评论的情感分析☆31Mar 19, 2017Updated 8 years ago
- Python中文文本挖掘:使用机器学习方法进行情感分析。☆104Oct 18, 2018Updated 7 years ago
- gensim-word2vec+svm文本情感分析☆104Sep 4, 2017Updated 8 years ago
- 电影评论情感分析,利用LSTM进行分类,数据集为IMDB情感分析数据集,使用已经训练好的词典向量模型☆26Aug 14, 2018Updated 7 years ago
- RNN-LSTM进行中文电影评论的情感分析☆18Mar 19, 2017Updated 8 years ago
- 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 to…☆170Mar 13, 2023Updated 2 years ago
- Replication files for arXiv:1805.03735 Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic☆11Jan 6, 2019Updated 7 years ago
- Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the per…☆15Oct 10, 2022Updated 3 years ago
- 基于lstm,word2vec做的豆瓣网电影评论情感分析,后期会进行整理并使用textcnn☆15Aug 9, 2019Updated 6 years ago
- 用tensorflow进行中文自然语言处理的情感分析☆452Nov 25, 2020Updated 5 years ago
- This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"☆14Dec 13, 2021Updated 4 years ago
- CCL 2018 Shared Task - Classification and Sentiment Analysis of Metaphors in Chinese☆14Oct 10, 2018Updated 7 years ago
- Aim was to develop a machine learning model which can analyze sentiments on twitter and to predict the winner of Lok Sabha Elections 201…☆17Nov 25, 2020Updated 5 years ago
- Yet another sentiment analysis system of Chinese.☆18Nov 10, 2016Updated 9 years ago
- 基于python与Anaconda Navigator软件的历年影片数据分析,通过数据再基于机器学习来获取影片的最佳阵容,最后预测以最佳整容去拍摄一部电影时所获取的票房与评分。☆23Sep 12, 2018Updated 7 years ago
- 应用商店评论爬虫、分词、情感分析等☆19May 24, 2019Updated 6 years ago
- 使用python分析电影剧本的基调、情感、台词、语意等等☆19Sep 2, 2017Updated 8 years ago
- 基于深度学习(LSTM)的情感分析(京东商城数据)☆184Nov 12, 2020Updated 5 years ago
- 基于Word2Vec+SVM对电商的评论数据进行情感分析☆138Aug 9, 2018Updated 7 years ago
- 中文电影评论情感分类,pytorch实现Text-CNN。☆45Apr 19, 2020Updated 5 years ago
- Chinese Shopping Reviews sentiment analysis☆358May 9, 2018Updated 7 years ago
- ☆22Jul 2, 2021Updated 4 years ago
- Chinese corpus sentiment analysis. 谭松波酒店评论中文文本情感分析☆59Feb 19, 2026Updated 2 weeks ago
- Second coursework & case from Sber Data Science competition. Links to scientific papers to which I will refer will be here.☆13Nov 12, 2021Updated 4 years ago
- 文本情感分析☆876Dec 30, 2017Updated 8 years ago
- sentiment analysis with chinese and english(LSTM). 通过LSTM实现中英文语句情感分析,来判断消极还是积极。☆52May 2, 2018Updated 7 years ago
- 使用CNN网络对用户评论进行情感分析☆24Feb 7, 2018Updated 8 years ago
- 基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析☆55Jul 30, 2021Updated 4 years ago
- 中文的情感分析任务:基于Bi-LSTM+Attention模型,对2万条中文影评数据进行情感分类。Chinese sentiment analysis task: Based on the Bi-LSTM+Attention model, sentiment classif…☆125Mar 3, 2022Updated 4 years ago
- A library of techniques for local interpretation of machine learning models☆10Mar 24, 2023Updated 2 years ago
- SPPNet: An Appoach For Real-Time Encrypted Traffic Classification Using Deep Learning☆10Aug 6, 2024Updated last year
- A research project and comparative study on various Active Noise Cancellation Algorithms like FxLMS, EMFN, Chebyshev filter and Hammerste…☆10Jul 3, 2022Updated 3 years ago
- ☆11May 17, 2024Updated last year
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- 安卓 远控,天线6.0 无限使用版☆11Sep 9, 2023Updated 2 years ago
- 中文商品评论短文本分类器,可用于情感分析☆370Dec 24, 2021Updated 4 years ago
- Adaptive Scaling for Sparse Detection in Information Extraction☆31Jun 12, 2018Updated 7 years ago
- Winning Solution for the M5 Competition for Uncertainty Forecasting☆10May 25, 2023Updated 2 years ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Dec 12, 2021Updated 4 years ago