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Suicide is becoming a serious problem, and how to prevent suicide has become a very important research topic. The development of Social Network System (SNS) provides an ideal platform to monitor persons' suicidal ideation. Based on Sina microblog (Weibo), this paper proposes a real-time monitoring system detecting users' suicidal ideation. From 59046 posts collected with labels of either suicide or...
The new social media have become popular for information spreading, allowing online users to publish latest events and personal opinions. However, massive spam comments seriously decrease users' reading experience. To detect spam comments in Chinese social media, we employ semantic analysis to build the self-extensible dictionary which updates and extends itself with new cyber words automatically...
In this paper we present results of a research on automatic extremist text detection. For this purpose an experimental dataset in the Russian language was created. According to the Russian legislation we cannot make it publicly available. We compared various classification methods (multinomial naive Bayes, logistic regression, linear SVM, random forest, and gradient boosting) and evaluated the contribution...
Online interactions, especially user generated contents on social events, reveal a variety of communicative purposes ranging from expressing feelings to proposing suggestions. Recognizing intents in users' online interactive behavior from massive social media data can effectively identify users' motives and intents behind communication and provide important information to aid monitoring, analysis...
People's attitude towards specific events is usually contained in their Internet speech. When monitoring public opinions on the Internet, the sentiments of social media users should be analyzed in real time. For example, the expression of target user should be analyzed to get his/her emotional changing trend. However, present literatures on text sentiment analysis are limited to specific domains and...
With the increasing impact of social networks, microblog becomes important carrier of information and social interaction for human beings, which contains emotional states that have important research significance. We try to analysis the microblog text with the methods of emotional vocabulary, combining domain knowledge of psychology and affective computing, continuous dimension of emotion psychology...
We present an approach to create an Internet slang annotated dictionary to help identifying the level of specific attitudes and moods (specifically aggressiveness, distress, hatefulness and offensiveness) in social networks and social media posts. The annotation refers to the attitudes, with the actual meaning having a low importance. The annotated dictionary is intended for automatic use in the detection...
In recent years, Weibo has greatly enriched people's life. More and more people are actively sharing information with others and expressing their opinions and feelings on Weibo. Analyzing emotion hidden in this information can benefit online marketing, branding, customer relationship management and monitoring public opinions. Sentiment analysis is to identify the emotional tendencies of the microblog...
Social networks have facilitated communications and exchange between people and many people share their experiences, pictures or interests on the Web. Yet, due to the diversity of social networks, it can be difficult to find the correct person which can answer a given query. Similarly, advertising companies need to target specific users which are most willing to be interested by their products. This...
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