Topic Shift Detection - Finding New Information in Threaded News
نویسنده
چکیده
منابع مشابه
A New Document Embedding Method for News Classification
Abstract- Text classification is one of the main tasks of natural language processing (NLP). In this task, documents are classified into pre-defined categories. There is lots of news spreading on the web. A text classifier can categorize news automatically and this facilitates and accelerates access to the news. The first step in text classification is to represent documents in a suitable way t...
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The present study intended to compare the complaint responses used by President Rouhani and President Obama in the Iranian and US news interview contexts. For this purpose, Boxer’s (1993) six types of indirect complaint responses were adopted: ‘ignorance’, ‘questions’, ‘topic switch’, ‘contradiction’, ‘joke/teasing’, ‘advice/lecture’ and ‘agreement/commiseration’. The transcripts of the live ne...
متن کاملA Cross-Cultural Pragmatic Study of Indirect Complaint Responses in Iranian and American News Interviews: Iran’s Nuclear Negotiations
The present study intended to compare the complaint responses used by President Rouhani and President Obama in the Iranian and US news interview contexts. For this purpose, Boxer’s (1993) six types of indirect complaint responses were adopted: ‘ignorance’, ‘questions’, ‘topic switch’, ‘contradiction’, ‘joke/teasing’, ‘advice/lecture’ and ‘agreement/commiseration’. The transcripts of the live ne...
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This paper describes the creation and content two corpora, TDT-2 and TDT-3, created for the DARPA sponsored Topic Detection and Tracking project. The research goal in the TDT program is to create the core technology of a news understanding system that can process multilingual news content categorizing individual stories according to the topic(s) they describe. The research tasks include segment...
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Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the art in finding and following new events in a stream of broadcast news stories. The TDT problem consists of three major tasks: (1) segmenting a stream of data, especially recognized speech, into distinct stories; (2) identifying those news stories that are the first to discuss a new event occurring...
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