CCF大数据比赛，基于主题的文本情感分析
☆96Jul 19, 2018Updated 8 years ago
Alternatives and similar repositories for sentiment
Users that are interested in sentiment are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 这是本人第一次数据算法比赛实录。主要整理记录2017年CCF大数据与计算智能竞赛使用的模型和实现代码，选择了基于主题的文本情感分析赛题。采用情感词典+自定义规则完成比赛，成绩：136/796。☆49Feb 21, 2018Updated 8 years ago
- 基于Keras使用LSTM对电商评论进行情感分析☆51Mar 7, 2018Updated 8 years ago
- BDCI2016“基于视角领域情感分析”第一名队伍（SUTL）作品☆12Nov 1, 2020Updated 5 years ago
- “达观杯”NLP算法挑战赛 竞赛成绩：排名前1%（29/2885）☆16Sep 24, 2018Updated 8 years ago
- 文本情感分析☆877Dec 30, 2017Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 基于新浪微博数据的情感极性分析☆57Sep 15, 2018Updated 8 years ago
- ☆12Dec 28, 2016Updated 9 years ago
- BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案☆430Dec 7, 2018Updated 7 years ago
- 利用Python实现酒店评论的中文情感分析☆816Nov 29, 2017Updated 8 years ago
- 汽车主题情感分析大赛冠军☆27Dec 10, 2018Updated 7 years ago
- gensim-word2vec+svm文本情感分析☆101Sep 4, 2017Updated 9 years ago
- CHIP2018问句匹配大赛 Rank6解决方案☆21Nov 27, 2018Updated 7 years ago
- 汽车之家口碑网某车型的评论数据情感分析☆29May 22, 2019Updated 7 years ago
- AI-Challenger Baseline 细粒度用户评论情感分析☆233Nov 8, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- spark高级数据分析☆20May 9, 2016Updated 10 years ago
- ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch☆574Nov 27, 2022Updated 3 years ago
- ☆12Apr 3, 2025Updated last year
- Bachelor's thesis project☆60Jun 19, 2026Updated 3 months ago
- News recommendation system based on spark.☆49Jan 6, 2017Updated 9 years ago
- 情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。☆1,268Aug 23, 2018Updated 8 years ago
- Chinese Shopping Reviews sentiment analysis☆358Aug 11, 2026Updated 2 months ago
- 一个基于Django的简单音乐网站☆18Feb 19, 2018Updated 8 years ago
- Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类☆838Aug 8, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 基于capsule的观点型阅读理解模型☆88Aug 8, 2019Updated 7 years ago
- Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classif…☆31Jul 25, 2024Updated 2 years ago
- Hand detection using TensorFlow Object Detection API and train on Google ML Engine☆15Mar 4, 2018Updated 8 years ago
- 使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model☆227May 16, 2017Updated 9 years ago
- 企业经营退出风险预测，二分类问题☆20Oct 12, 2018Updated 7 years ago
- ai challenge 2018 's final code.☆16Dec 6, 2018Updated 7 years ago
- AI Challenger 2018 观点型问题阅读理解 复赛第8名 解决方案 (8th place of AI Challenger 2018 MRC)☆90Dec 17, 2018Updated 7 years ago
- 基于TMSVM的微博情感正负判断☆17Aug 22, 2014Updated 12 years ago
- 基于深度学习（LSTM）的情感分析（京东商城数据）☆183Nov 12, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [不再更新]中文短文本情感分析 web 应用 | A web app about Chinese sentences sentiment analysis☆47Jul 7, 2019Updated 7 years ago
- 中文文本情感分类利用cnn☆20May 7, 2019Updated 7 years ago
- 甜橙金融杯复赛第六方案☆40Feb 9, 2019Updated 7 years ago
- Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)☆227Jul 13, 2018Updated 8 years ago
- Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms☆94Apr 24, 2019Updated 7 years ago
- 🎼天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。☆152May 3, 2018Updated 8 years ago
- DataFountain第五届达观杯第4名方案☆11Dec 3, 2021Updated 4 years ago