Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction
نویسندگان
چکیده
منابع مشابه
Aspect and Entity Extraction for Opinion Mining
Opinion mining or sentiment analysis is the computational study of people’s opinions, appraisals, attitudes, and emotions toward entities such as products, services, organizations, individuals, events, and their different aspects. It has been an active research area in natural language processing and Web mining in recent years. Researchers have studied opinion mining at the document, sentence a...
متن کاملImplicit Aspect Indicator Extraction for Aspect based Opinion Mining
Aspect-based opinion mining aims to model relations between the polarity of a document and its opinion targets, or aspects. While explicit aspect extraction has been widely researched, limited work has been done on extracting implicit aspects. An implicit aspect is the opinion target that is not explicitly specified in the text. E.g., the sentence “This camera is sleek and very affordable” give...
متن کاملAspect-Based Opinion Extraction from Customer reviews
Text is the main method of communicating information in the digital age. Messages, blogs, news articles, reviews, and opinionated information abounds on the Internet. People commonly purchase products online and post their opinions about purchased items. This feedback is displayed publicly to assist others with their purchasing decisions, creating the need for a mechanism with which to extract ...
متن کاملNouns Affect Aspect Syntactically
The starred for-adverbial in (1a) reflects standard judgments: in the presence of a DP direct object like a cake—which following terminology by Borer (2005) is referred to here as a Q(uantity)-DP— with an incremental theme verb like eat, the VP is telic. In contrast, in (1b), with a mass noun direct object like cake—referred to here as a non-Q-DP—the VP is atelic. Although these are the pattern...
متن کاملSupervised Opinion Aspect Extraction by Exploiting Past Extraction Results
One of the key tasks of sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. In this work, we focus on using supervised sequence labeling as the base approach to performing the task. Although several extraction methods using sequence labeling methods such as Conditional Random Fields (CRF) and Hidden Markov Models (HMM) have been...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2020
ISSN: 0891-2017,1530-9312
DOI: 10.1162/coli_a_00362