Fine-grained Opinion Extraction with Mixed Network Model
نویسندگان
چکیده
منابع مشابه
Joint Inference for Fine-grained Opinion Extraction
This paper addresses the task of finegrained opinion extraction – the identification of opinion-related entities: the opinion expressions, the opinion holders, and the targets of the opinions, and the relations between opinion expressions and their targets and holders. Most existing approaches tackle the extraction of opinion entities and opinion relations in a pipelined manner, where the inter...
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Fine-grained opinion analysis methods often make use of linguistic features but typically do not take the interaction between opinions into account. This article describes a set of experiments that demonstrate that relational features, mainly derived from dependency-syntactic and semantic role structures, can significantly improve the performance of automatic systems for a number of fine-graine...
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We describe the implementation of reranking models for fine-grained opinion analysis – marking up opinion expressions and extracting opinion holders. The reranking approach makes it possible to model complex relations between multiple opinions in a sentence, allowing us to represent how opinions interact through the syntactic and semantic structure. We carried out evaluations on the MPQA corpus...
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Within the area of general-purpose finegrained subjectivity analysis, opinion topic identification has, to date, received little attention due to both the difficulty of the task and the lack of appropriately annotated resources. In this paper, we provide an operational definition of opinion topic and present an algorithm for opinion topic identification that, following our new definition, treat...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2017
ISSN: 2475-8841
DOI: 10.12783/dtcse/aita2017/15990