Inter-domain Opinion Phrase Extraction Based on Feature Augmentation
نویسندگان
چکیده
In this paper, a system for the extraction of key argument phrases – which make the opinion holder feel negative or positive towards a particular product – from product reviews is introduced. Since the necessary amount of training examples from any arbitrary product type (target domain) is not always available, the possible usage of domain adaptation in the task of opinion phrase extraction is also examined. Experimental results show that models relying on training examples mainly from a different domain can still yield results that are comparable to that of the intra-domain settings.
منابع مشابه
Feature extraction in opinion mining through Persian reviews
Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...
متن کاملIdentifying Features from Opinion Mining Using Fine-Grained Relational Topic Weighted Approach
-Opinion feature extraction is a sub problem of opinion mining analyzed at document, sentence, or even phrase (word) levels. Document-level (sentence-level) opinion mining is classified as overall subjectivity or sentiment, expressed in an individual review document. The existing approaches to opinion feature extraction depended on mining patterns from a particular evaluate corpus disregard non...
متن کاملFeature-Rich Information Extraction for the Technical Trend-Map Creation
The authors used a word sequence labeling method for technical effects and base-technology extraction in the Technical Trend Map Creation Subtask of the NTCIR-8 Patent Mining Task. The method labels each word based on CRF (Conditional Random Field) trained with labeled data. The word features employed in the labeling are obtained by using explicit/implicit document structures, technology fields...
متن کاملSecond-Order Statistical Texture Representation of Asphalt Pavement Distress Images Based on Local Binary Pattern in Spatial and Wavelet Domain
Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...
متن کاملA Unified Framework for Emotional Elements Extraction Based on Finite State Matching Machine
Traditional methods for sentiment analysis mainly focus on the construction of emotional resources based on the review corpus of specific areas, and use phrase matching technologies to build a list of product feature words and opinion words. These methods bring about the disadvantages of inadequate model scalability, low matching precision, and high redundancy. Besides, it is particularly diffi...
متن کامل