Multi-Document Summarization with Subjectivity Analysis
نویسندگان
چکیده
In this paper, we present our team TUT/NII results at DUC 2005 and additional experiments on improving multi-document summarization. Summarization systems have typically focused on the factual aspect of information needs. Subjectivity analysis is another essential aspect for better understanding of information needs. Our approach is based on sentence extraction, weighted by sentence type annotation, and combined with polarity term frequencies. We selected 10 topics related to subjectivity with analysis of “narratives”, and investigated improvements of ROUGE (RecallOriented Understudy for Gisting Evaluation) and BE (Basic Elements) scores with our approach. In addition, the factual aspect of information needs was also investigated.
منابع مشابه
Multi-Document Summarization Reflecting Information Needs on Subjectivity
In this paper, we present our experiments on improving multi-document summarization by reflecting information needs on subjectivity. Subjectivity is an essential aspect for better understanding of information needs. Our approach is based on sentence extraction, weighted by sentence type annotation, and combined with polarity term frequencies. From the DUC 2005 dataset, which focused on summariz...
متن کاملThread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads
Subjectivity analysis has been actively used in various applications such as opinion mining of customer reviews in online review sites, question-answering in CQA sites, multi-document summarization, etc. However, there has been very little focus on subjectivity analysis in the domain of online forums. Online forums contain huge amounts of user-generated data in the form of discussions between f...
متن کاملDiscovering Subjectivity Using Multi-document Summaries
The ability to separate opinion from fact within text requires accurate detection of subjective language. Most work in this area has relied on some level of human supervision in the form of hand-tagging or word-list construction. Drawing from the unique nature of the multi-document summarization task, we present an unsupervised method for discovering subjectivity clues using freely available mu...
متن کاملCognition-Cognizant Sentiment Analysis with Multitask Subjectivity Summarization based on Annotators' Gaze Behavior
For document level sentiment analysis (SA), Subjectivity Extraction, ie., extracting the relevant subjective portions of the text that cover the overall sentiment expressed in the document, is an important step. Subjectivity Extraction, however, is a hard problem for systems, as it demands a great deal of world knowledge and reasoning. Humans, on the other hand, are good at extracting relevant ...
متن کاملA survey on Automatic Text Summarization
Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...
متن کامل