人工智能-项目实践-情感分析-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

上传者: admin_maxin | 上传时间: 2022-04-23 19:06:04 | 文件大小: 1.29MB | 文件类型: ZIP
人工智能-项目实践-情感分析-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 题目介绍 该题目为《细粒度用户评论情感分析》,来源于“全球AI挑战赛”。https://challenger.ai/competition/fsauor2018 对于题目内容以及任务描述均可从该网站获取,这里不再赘述。 成绩 单个模型最好的F1指标为:75.04 整体20个模型的综合F1指标为:68 数据集 数据集由比赛平台提供。包含105000条训练样本以及15000条测试样本。 关于数据集的标注可以点击这里查看。

文件下载

资源详情

[{"title":"( 22 个子文件 1.29MB ) 人工智能-项目实践-情感分析-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","children":[{"title":"fsauor2018-master","children":[{"title":"main.py <span style='color:#111;'> 7.82KB </span>","children":null,"spread":false},{"title":"content.py <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"load_model.py <span style='color:#111;'> 6.62KB </span>","children":null,"spread":false},{"title":"langconv.py <span style='color:#111;'> 7.75KB </span>","children":null,"spread":false},{"title":"src","children":[{"title":"tensorboard.png <span style='color:#111;'> 191.58KB </span>","children":null,"spread":false},{"title":"server.png <span style='color:#111;'> 78.95KB </span>","children":null,"spread":false},{"title":"labelDistribuion.md <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"model.png <span style='color:#111;'> 13.58KB </span>","children":null,"spread":false},{"title":"可行性分析.png <span style='color:#111;'> 28.86KB </span>","children":null,"spread":false},{"title":"sentiment_analysis_trainingset_annotations.pdf <span style='color:#111;'> 609.66KB </span>","children":null,"spread":false},{"title":"server_get_query.png <span style='color:#111;'> 162.79KB </span>","children":null,"spread":false},{"title":"client_send_query.png <span style='color:#111;'> 248.59KB </span>","children":null,"spread":false},{"title":"demo.md <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false}],"spread":true},{"title":"word2vec.py <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"demo","children":[{"title":"WebContent","children":[{"title":"index.jsp <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"handler.jsp <span style='color:#111;'> 423B </span>","children":null,"spread":false}],"spread":true},{"title":"src","children":[{"title":"load_server.py <span style='color:#111;'> 4.00KB </span>","children":null,"spread":false},{"title":"Analyze.java <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"loadModel.py <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 8.11KB </span>","children":null,"spread":false},{"title":"load_batch.py <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"zh_wiki.py <span style='color:#111;'> 139.91KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明