图 书 馆
Twitter情感分析的语义模式Semantic Patterns for Sentiment Analysis of Twitter |
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| 课程网址: | http://videolectures.net/iswc2014_saif_sentiment_analysis/ |
| 主讲教师: | Hassan Saif |
| 开课单位: | 开放大学 |
| 开课时间: | 2014-12-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Most existing approaches to Twitter sentiment analysis assume that sentiment is explicitly expressed through affective words. Nevertheless, sentiment is often implicitly expressed via latent semantic relations, patterns and dependencies among words in tweets. In this paper, we propose a novel approach that automatically captures patterns of words of similar contextual semantics and sentiment in tweets. Unlike previous work on sentiment pattern extraction, our proposed approach does not rely on external and fixed sets of syntactical templates/patterns, nor requires deep analyses of the syntactic structure of sentences in tweets. We evaluate our approach with tweet- and entity-level sentiment analysis tasks by using the extracted semantic patterns as classification features in both tasks. We use 9 Twitter datasets in our evaluation and compare the performance of our patterns against 6 state-of-the-art baselines. Results show that our patterns consistently outperform all other baselines on all datasets by 2.19% at the tweet-level and 7.5% at the entity-level in average F-measure. |
| 关 键 词: | 情感分析; 单词模式; 分类特征 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-14：chenjy |
| 最后编审: | 2023-05-11：chenjy |
| 阅读次数: | 24 |