Social Media Sentiment Analysis
Stock Movement Prediction Based on Social Media Sentiment Analysis
... of social network and big data, as well as huge speed of news spreading, probably the most interesting are those theories based on social media sentiment ...articles, social networks ...
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Social Media Sentiment Analysis using Machine Learning and Optimization Techniques
... Swarm Intelligence Optimization Techniques are used which are inspired by the behavior technique of the group of insects in our nature. ACO techniques inhibit the natural behavior technique of ants which aims to discover ...
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Forecasting of the cryptocurrency market through social media sentiment analysis
... so-called sentiment analysis, which is commonly defined as the computational treatment, evaluation and coding of opinion, sentiment, and subjectivity in text (Pang, 2008) and represents a tool which ...
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Title: Social Media Sentiment Analysis using Machine Learning Classifiers
... “Sentiment Analysis of Review Datasets Using Naïve Bayes„ and K-NN Classifier” International Journal Information Engineering and Electronic Business, 2016, 4, 54-62 Published Online July 2016 in MECS ...
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Concurrent Validity and Consistency of Social Media Sentiment Analysis Tools
... of social media increasingly express their opinions and as a result, a large number of commercially and freely available sentiment analysis tools have been ...the sentiment expressions ...
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Social media sentiment analysis and topic detection for Singapore English
... Social media has become an increasingly important part of our daily lives in the last few ...via social-media applications. Sentiment analysis and topic detection are two growing ...
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The New Eye of Government: Citizen Sentiment Analysis in Social Media
... on social senti- ment analysis in a most interesting paper by Abbasi (2007), where he proposed an affect analysis approach for measuring the presence of hate, violence, and the resulting propaganda ...
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An Application of Sentiment Analysis Techniques to Determine Public Opinion in Social Media
... It has been acknowledged through previous research, tra- ditional methods at gauging public opinion on a topic are becoming increasingly unreliable and more difficult to accu- rately predict. Recently, events such as the ...
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User Behavior Analysis on Social Media Data using Sentiment Analysis or Opinion Mining
... The Sentiments of people under certain circumstances can be identified using the data collected from social media, say twitter here. Three types of Classifications can be observed: Binary, Ternary and ...
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A Novel Clustering Approach Based Sentiment Analysis of Social Media Data
... for sentiment analysis in social site giant Facebook that, starting from the messages written by its users, supports: (i) to extract useful information about the Facebook users’ sentiment ...
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Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
... for sentiment ana- lysis of Czech social ...Czech social media ...created social media dataset, we also report re- sults on other widely popular domains, such as movie and ...
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Resource Creation and Evaluation for Multilingual Sentiment Analysis in Social Media Texts
... Our initial experiments included the evaluation of the English, Spanish, Italian, French and German data individually and considering different combinations thereof, on Gold Standard 1. In these preliminary evaluations, ...
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Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
... The word for 2016 was "post-truth", marking the fact that in the era of Social Media and citizen-created or reported news, the border between facts and speculation, verifiable reality and opinions ...
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Stock Returns and Investor Sentiment: Textual Analysis and Social Media
... investor sentiment in determining and predicting intraday ...investor sentiment index using posts from StockTwit. 11 This social media platform is unique in that users can pre-label their ...
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Data Analysis on Social Network Media Data like Twitter Using Sentiment Analysis
... present social networking sites are at the boom, so large amount of data is ...the sentiment from a famous micro blogging service, Twitter, where users tweet their opinions about different ...
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Sentiment Lexicons for Arabic Social Media
... As shown above, lexicons created by translating existing ones in other languages can be beneficial for automatic sen- timent analysis. However, the above experiments do not ex- plicitly quantify the extent to ...
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Social Media Data Mining and Inference system based on Sentiment Analysis
... Improving the performance and quality of web crawler: Web crawler forms the basis of our thesis work since the entire module of sentiment detection depends on the data fed to it. One way to improve the performance ...
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Sentiment Analysis for Social Media using SVM Classifier of Machine Learning
... Abstract: Sentiment analysis is an area of natural language processing (NLP) and machine learning where the text is to be categorized into predefined classes ...and social media, both are ...
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Developing resources for sentiment analysis of informal Arabic text in social media
... elements (such as phrases, clauses and sentences). These can subsequently be used by various kinds of classifiers [1] such as Naïve Bayes (NB), decision tree (DT), Support Vector Machines (SVM), k-nearest neighbors ...
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Sentiment Analysis on Social Media Big Data With Multiple Tweet Words
... Attaining Sentiment Analysis/Opinion Mining on real time Big Data is a challenging ...for Sentiment Analysis or Opinion Mining is a highly challenging ...Data Analysis complications ...
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