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Classifying cyber aggression in social media posts
... Reynolds, Kontostathis, and Edwards (2011) compared rule-based learning method with bag-of- words model using data taken from Formspring.me, a question and answer based social media. The rules applied ... See full document
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Classifying Tweet Level Judgements of Rumours in Social Media
... set of other already annotated rumours. Previous work on this problem either considered unrealis- tic settings ignoring temporal ordering and rumour identities (Qazvinian et al., 2011) or proposed reg- ular expressions ... See full document
6
Aggression Detection in Social Media using Deep Neural Networks
... Detection of cyberbullying is modeled in (Dinakar et al., 2011). The authors found that cyberbullying in the text can be automatically detected by building topic-sensitive classifiers. Binary classifiers outper- form ... See full document
8
A K Competitive Autoencoder for Aggression Detection in Social Media Text
... for social media platforms such as Twitter where the maximum number of characters is limited and a significant number of posts use code-mixed data, this strategy do not work very ... See full document
10
Predicting the Type and Target of Offensive Posts in Social Media
... As offensive content has become pervasive in social media, there has been much research in identifying potentially offensive messages. However, previous work on this topic did not consider the problem as a ... See full document
6
Benchmarking Aggression Identification in Social Media
... Verbal aggression per se has been rarely explored within the field of Natural Language Processing. However, previous research in the field has been carried out to automatically recognise several related behaviour ... See full document
11
Policing Cyber Bullying: How Parents, Educators, and Law Enforcement Respond to Digital Harassment
... in cyber bullying, parents’ objectives shift from a focus on risk management—preventing the harm from occurring—to a focus on harm ...to cyber bullying involving their child ...address cyber bullying ... See full document
159
Classifying Emotions in Customer Support Dialogues in Social Media
... In the present work, we define a dialogue to be a sequence of turns between a specific customer and an agent, where the customer initiates the first turn. Consecutive posts of the same party (cus- tomer or agent) ... See full document
10
Filtering Aggression from the Multilingual Social Media Feed
... Social media become the popular platform for the common man to the celebrities to discuss or to give their opinions about any real-world ...of social media users was ...on Social ... See full document
9
Classifying Short Text in Social Media: Twitter as Case Study
... 5.1.2 Collecting Tweets Based on Time Frame. In order to measure a topic’s popularity over time, tweets may be saved in daily documents. Then, one can find relations among the topics that appear in all documents to show ... See full document
12
Cyber Dating Abuse: How Coercive Control and Attitudes about Dating Aggression Affect Health and Relationship Quality
... The original sample consisted of 213 participants recruited mainly from the University of Windsor through advertisements (see Appendices A1 and A2) placed on the Sona online research participant recruitment system used ... See full document
139
Classifying Sentences as Speech Acts in Message Board Posts
... In the 1990’s, the natural language processing com- munity shifted much of its attention to corpus-based learning techniques. Since then, most of the text cor- pora that have been annotated and studied are collec- tions ... See full document
11
Social media and impression management: Veterinary medicine students’ and faculty members’ attitudes toward the acceptability of social media posts
... The data also revealed interesting gender differences. Specifically, male students found it more acceptable to post inflammatory comments about instructors and classmates, as well as information about clients. These ... See full document
8
Practices Of Social Media And Its Waves In Cyber Bullying
... Social Media is a bordered system of internet based medium wherein individuals or group of individuals create a profile permitted to be shared with others on the same system to get linked-up and navigate ... See full document
7
Sentiment after Translation: A Case Study on Arabic Social Media Posts
... We presented a set of experiments to systemati- cally study the impact of English translation (man- ual and automatic) on sentiment analysis of Arabic social media posts. Our experiments show that ... See full document
11
Social media content analysis: Study on brand posts of electronics companies
... In this study the authors explored the descriptive statistics of 17 Electronic companies, that will help the companies to get a clear idea about the types of contents and their variation[r] ... See full document
14
Classifying ReachOut posts with a radial basis function SVM
... for posts to a support forum for people with a history of mental health ...issues. Posts are clas- sified into green,amber,red and ...of posts from each ... See full document
5
Lexicon Based Chinese Language Sentiment Analysis Method
... Chinese social media posts and we rely on most popular Chinese social media Sina Weibo ...Weibo posts that mentioned specific words (in this case word ”Great Barrier Reef” in ... See full document
18
Early Career Victorianists and Social Media: Impact, Audience and Online Identities
... But Mathieson argues for a more intellectually rigorous and reciprocal relationship. The reflective stance described above, in which she looks again at her work from a different angle , provides an essential : a means ... See full document
14
Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes
... The goal of our research is to distinguish vet- erinary message board posts that describe a case involving a specific patient from posts that ask a general question. We create a text classifier that ... See full document
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