的事物 发表于 2025-3-23 11:46:24
Neural Network Hate Deletion: Developing a Machine Learning Model to Eliminate Hate from Online Comm and find that our method reduces hatefulness without resulting in a significant loss of understandability. In some cases, removing hateful elements improves understandability by reducing the linguistic complexity of the comment. In addition, we find that NNHD can satisfactorily retain the originalnocturnal 发表于 2025-3-23 15:40:06
Adaptive Focused Crawling Using Online Learningls: (i) ., where a user manually evaluates the discovered resources, and (ii) ., where the framework uses the already trained classifiers to assess the relevance of newly discovered resources. The evaluation experiments in the domain of Islamic extremism indicate the effectiveness of online learningNEX 发表于 2025-3-23 18:32:28
Using Corpus Linguistics Tools to Analyze a Russian-Language Islamic Extremist Forumtify most frequent words and word clusters, build concordances, find collocates, etc. A comparative corpus analysis of texts by Islamic extremists and those by common Internet users on the same topic (comments on relevant newsfeeds) allowed us to identify a number of features of Islamic extremist rh虚度 发表于 2025-3-23 23:54:24
Image of International Migration in Russian Online Mass Media problems. In addition to the analysis of the broadcasted content on migration, we also studied the opinion of Russians on that content and its presentation in media. As a result, a number of trends have been revealed in presentation of international migration processes by electronic mass media andmicturition 发表于 2025-3-24 05:54:34
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What Makes Users Trust a Chatbot for Customer Service? An Exploratory Interview Studyeived security and privacy in the chatbot, as well as general risk perceptions concerning the topic of the request. Implications for the design and development of chatbots and directions for future work are suggested.不安 发表于 2025-3-24 19:32:24
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