情感分析及可视化方法在网络视频弹幕数据分析中的应用

Utilization of Sentiment Analysis and Visualization in Online Video Bullet-screen Comments

【目的】利用情感分析技术提取弹幕评论中包含的情感数据并对其进行可视化,获取网络视频的情感特征及走势。【应用背景】网络视频弹幕中的评论信息经情感分析及可视化处理后可作为视频的情感标签,在此基础上建立基于评论情感的视频检索模式。【方法】利用句子级别的情感分析方法,建立基于情感词典的弹幕情感分析模型,对评论文本进行情感词抽取及情感值计算,并结合时间序列进行分析。【结果】获取弹幕中的情感数据,绘制弹幕评论的多维情感类别雷达图、情感词标签云和情感趋势曲线等。【结论】利用情感分析及可视化方法,可以帮助用户获取网络视频弹幕数据中包含的情感信息,进而提供一种新的视频检索途径。

[Objective] By collecting and visualizing the sentiment information from bullet-screen comments, we can extract the emotion features and the trend of online videos. [Context] The visualized information of bullet-screen comments can be considered as sentiment tags. Based on these labels of online video, a new retrieval model focusing on comment emotion can be raised. [Methods] According to sentence level sentiment analysis, the study model of sentiment analysis towards bullet-screen comments is developed, including process of constructing sentiment word dictionary, extracting sentiment words and calculating weight value of comments based on time series. [Results] Analyzing tools of radar map, tag cloud and trend-curve diagram are utilized to present the outcome. [Conclusions] Sentiment analysis and visualization methods utilized in bullet-screen comments can provide a new approach to retrieve online videos.