A Scalable, Lexicon Based Technique for Sentiment Analysis
نویسندگان
چکیده
منابع مشابه
A Scalable, Lexicon Based Technique for Sentiment Analysis
Rapid increase in the volume of sentiment rich social media on the web has resulted in an increased interest among researchers regarding Sentimental Analysis and opinion mining. However, with so much social media available on the web, sentiment analysis is now considered as a big data task. Hence the conventional sentiment analysis approaches fails to efficiently handle the vast amount of senti...
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Due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. This problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. Construction of sentiment lexicon as a valuable language resource is a one of the imp...
متن کاملDomain-Based Lexicon Enhancement for Sentiment Analysis
General knowledge sentiment lexicons have the advantage of wider term coverage. However, such lexicons typically have inferior performance for sentiment classification compared to using domain focused lexicons or machine learning classifiers. Such poor performance can be attributed to the fact that some domain-specific sentiment-bearing terms may not be available from a general knowledge lexico...
متن کاملLexicon-based Sentiment Analysis for Persian Text
The vast information related to products and services available online, of both objective and subjective nature, can be used to provide contextualized suggestions and guidance to possible new customers. User feedback and comments left on different shopping websites, portals and social media have become a valuable resource, and text analysis methods have become an invaluable tool to process this...
متن کاملLexicon-Based Methods for Sentiment Analysis
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the tex...
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ژورنال
عنوان ژورنال: International Journal in Foundations of Computer Science & Technology
سال: 2014
ISSN: 1839-7662
DOI: 10.5121/ijfcst.2014.4504