Improved lexicon-based sentiment analysis for social media analytics
نویسندگان
چکیده
منابع مشابه
Sentiment Analysis for Social Media
The proposed system is able to collect useful information from the twitter website and efficiently perform sentiment analysis of tweets regarding the Smart phone war. The system uses efficient scoring system for predicting the user’s age. The user ‘gender is predicted using a well trained Naïve Bayes Classifier. Sentiment Classifier Model labels the tweet with a sentiment. This helps in compreh...
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The need to elicit public opinion about predefined topics is widespread in the social sciences, government and business. Traditional survey-based methods are therefore being partly replaced by social media data mining but YouTube comments tend to be overlooked, despite the ongoing popularity of the site. This article introduces a systematic social media analytics strategy to gain insights about...
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Sentiment analysis is a compelling issue for both information producers and consumers. We are living in the “age of customer”, where customer knowledge and perception is a key for running successful business. The goal of sentiment analysis is to recognize and express emotions digitally. This paper presents the lexicon-based framework for sentiment classification, which classifies tweets as a po...
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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...
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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...
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ژورنال
عنوان ژورنال: Security Informatics
سال: 2015
ISSN: 2190-8532
DOI: 10.1186/s13388-015-0024-x