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SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twitter [chapter]

Hassan Saif, Miriam Fernandez, Yulan He, Harith Alani
2014 Lecture Notes in Computer Science  
In this paper we present SentiCircle; a novel lexicon-based approach that takes into account the contextual and conceptual semantics of words when calculating their sentiment orientation and strength in  ...  Lexicon-based approaches to Twitter sentiment analysis are gaining much popularity due to their simplicity, domain independence, and relatively good performance.  ...  Capturing and Representing Semantics for Sentiment Analysis In the following we explain the SentiCircle approach and its use of contextual and conceptual semantics.  ... 
doi:10.1007/978-3-319-07443-6_7 fatcat:hsp44p4zmrhrpgde73yuffkwae

SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis [chapter]

Hassan Saif, Maxim Bashevoy, Steve Taylor, Miriam Fernandez, Harith Alani
2016 Lecture Notes in Computer Science  
In this paper we present SentiCircles, a platform that captures feedback from social media conversations and applies contextual and conceptual sentiment analysis models to extract and summarise sentiment  ...  It provides a novel sentiment navigation design where contextual sentiment is captured and presented at term/entity level, enabling a better alignment of positive and negative sentiment to the nature of  ...  More specifically, the objectives of the SentiCircles platform are: (i) apply contextual and conceptual sentiment analysis models for identifying the sentiment expressed in social media discussions and  ... 
doi:10.1007/978-3-319-47602-5_28 fatcat:kvz2cro5szaevdt2fosznxjyra

Contextual semantics for sentiment analysis of Twitter

Hassan Saif, Yulan He, Miriam Fernandez, Harith Alani
2016 Information Processing & Management  
In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter.  ...  Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors.  ...  Semantic Sentiment Methods Several methods have been proposed for exploring semantics for sentiment analysis, which can be categorised into contextual semantic, and conceptual semantic approaches.  ... 
doi:10.1016/j.ipm.2015.01.005 fatcat:5rtnm5f5pjednejvih4aalvbt4

Semantic Patterns for Sentiment Analysis of Twitter [chapter]

Hassan Saif, Yulan He, Miriam Fernandez, Harith Alani
2014 Lecture Notes in Computer Science  
In this paper, we propose a novel approach that automatically captures patterns of words of similar contextual semantics and sentiment in tweets.  ...  Most existing approaches to Twitter sentiment analysis assume that sentiment is explicitly expressed through affective words.  ...  We thank Grégoire Burel and Carlos Pedrinaci for the helpful discussions.  ... 
doi:10.1007/978-3-319-11915-1_21 fatcat:i6mjndzcvbdspddggv73lxtbyi

A Linked Open Data Approach for Sentiment Lexicon Adaptation

Hassan Saif, Miriam Fernández, Leon Kastler, Harith Alani
2016 International Semantic Web Conference  
We evaluate our approach on three different Twitter datasets and show that using semantic information to adapt the lexicon improves sentiment computation by 3.7% in average accuracy, and by 2.6% in average  ...  Social media platforms have recently become a gold mine for organisations to monitor their reputation by extracting and analysing the sentiment of the posts generated about them, their markets, and competitors  ...  Figure 2 depicts the representation and extraction of the contextual sentiment of the term "great" by the SentiCircle approach.  ... 
dblp:conf/semweb/SaifFKA16 fatcat:n7istugz55hvpmbrmpuqb7rvyi

Sentiment lexicon adaptation with context and semantics for the social web

Hassan Saif, Miriam Fernandez, Leon Kastler, Harith Alani, Andreas Hotho, Robert Jäschke, Kristina Lerman, Andreas Hotho, Robert Jäschke, Kristina Lerman
2017 Semantic Web Journal  
We evaluate our approach on three different Twitter datasets, and show that enriching the lexicon with contextual and semantic information improves sentiment computation by 3.4% in average accuracy, and  ...  They calculate the overall sentiment of texts by using a general collection of words, with predetermined sentiment orientation and strength.  ...  Introduction Sentiment analysis on social media, and particularly on Twitter, has gained much attention in recent years.  ... 
doi:10.3233/sw-170265 fatcat:zqzda2f3ebf2vbnmotbpdr7dy4

Enhanced Twitter Sentiment Analysis Using Hybrid Approach and by Accounting Local Contextual Semantic

Itisha Gupta, Nisheeth Joshi
2019 Journal of Intelligent Systems  
Thus, we present naive and novel shift approach in which negation acts as both sentiment-bearing word and modifier, and then we shift the score of words from SWN based on their contextual semantic, inferred  ...  Experimental results show that the contextual-based SWN feature vector obtained through shift polarity approach alone led to an improved Twitter sentiment analysis system that outperforms the traditional  ...  [43] presented SENTICIRCLE lexicon-based approach which considers contextual and conceptual semantics of words while calculating their score from the lexicon.  ... 
doi:10.1515/jisys-2019-0106 fatcat:5mtmmiiaavgdzp44qrdu4vjsem

Sentiment Detection, Recognition and Aspect Identification

Salma Faiz, Mohammed Dahab
2017 International Journal of Computer Applications  
Sentiment analysis is the study of people's opinions, attitudes, feelings, and emotions discuss any object such as entities, events, topics, product, issues, services, etc. are respected for extraction  ...  The increasing growth of the social network sites generating a big resource of social data. So, researchers considering about harnessing the effeteness of social media and sentiment analysis.  ...  It a lexicon-based approach for SA detects the contextual semantic of words on Twitter from their relevance and changes the sentiment of words depends on their contextual semantics.  ... 
doi:10.5120/ijca2017915675 fatcat:vypmhl4vz5addovx3ftil2tgr4

Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency

Deepti Aggarwal, Vikram Bali, Abhishek Agarwal, Kshitiz Poswal, Madhav Gupta, Abhishek Gupta
2021 Journal of Information Technology Management  
This paper employs machine learning methods for text analysis to obtain sentiments of reviews by the people on twitter.  ...  Tweets with '#lockdown' are analysed for their sentiment categorically and a schematic analysis is shown.  ...  into account the contextual and conceptual semantics of words when calculating their sentiment orientation and strength.  ... 
doi:10.22059/jitm.2021.80028 doaj:d71ede82dd5243909c3e2b52fcd0d41f fatcat:iukpcmdctrdunkic6topblrjky

Crawling Twitter Data [chapter]

Shamanth Kumar, Fred Morstatter, Huan Liu
2013 SpringerBriefs in Computer Science  
We use Twitter4J which is a java library for communicating with Twitter API. The application, first, connects to Twitter API, then retrieves tweets, and stores them into database.  ...  Most popular SNSs like Facebook, Weibo and Twitter generate millions of data every minute. Twitter is one of SNS which allows its users post short instant messages.  ...  [7] proposed an approach called SentiCircles to analyze tweets for sentiment detection.  ... 
doi:10.1007/978-1-4614-9372-3_2 fatcat:jedr5eybd5gzbmkjermtub26bu

Semantic Sentiment Analysis of Microblogs

Hassan Saif
2015
To this end, several approaches are proposed in this thesis for extracting and incorporating two types of word semantics for sentiment analysis: contextual semantics (i.e., semantics captured from words  ...  A wide range of approaches to sentiment analysis on Twitter, and other similar microblogging platforms, have been recently built.  ...  contextual and conceptual semantics of words together for sentiment analysis.  ... 
doi:10.21954/ou.ro.0000ac1f fatcat:m5vxmeppprafno5y6bjajmpege

A spatiotemporal approach for social media sentiment analysis

Andre Alves, Cláudio de Souza Baptista, Davi Oliveira Serrano de Andrade, Maxwell Guimarães De Oliveira, Aillkeen Bezerra De Oliveira
2021 First Monday  
These data constitute a rich source of information for sentiment analysis and help the understanding of spontaneously expressed opinions.  ...  Our approach exploits the summarization of sentiment analysis using the spatial and temporal dimensions and automatically generates opinion change flow maps through both dimensions.  ...  Saif, et al. (2016) presented SentiCircles, a lexicon-based approach for sentiment analysis on Twitter.  ... 
doi:10.5210/fm.v26i8.10757 fatcat:ik5cfuh4u5e65humq3lrj7zqyy

Cognitive-aware Short-text Understanding for Inferring Professions [article]

Sayna Esmailzadeh, Saeid Hosseini, Mohammad Reza Kangavari, Wen Hua
2021 arXiv   pre-print
semantics of users.  ...  fitting, support vector, and boosting modules to better predict the occupation of the authors.  ...  ., 2016 ) design a novel lexicon-based approach using a contextual representation of words from Twitter, called SentiCircles, which can capture the hidden semantics of the words from their co-occurrence  ... 
arXiv:2106.07363v1 fatcat:xvnovqo3dff5np7fg75rcz77ya

A quantum-inspired multimodal sentiment analysis framework

Yazhou Zhang, Dawei Song, Peng Zhang, Panpan Wang, Jingfei Li, Xiang Li, Benyou Wang
2018 Theoretical Computer Science  
Abstract Multimodal sentiment analysis aims to capture diversified sentiment information implied in data that are of different modalities (e.g., an image that is associated with a textual description or  ...  The framework consists of a Quantum-inspired Multimodal Representation (QMR) model (which aims to fill the "semantic gap" and model the correlations between different modalities via density matrix), and  ...  [41] proposed a semantic sentiment representation of words called SentiCircle, and performed entity-120 and tweet-level level sentiment analysis on Twitter data.  ... 
doi:10.1016/j.tcs.2018.04.029 fatcat:rpnlxnvps5fklcqozncurg3tyq

User Profile Modeling in Online Communities

Miriam Fernández, Harith Alani, Arno Scharl, Kalina Bontcheva
2014 International Semantic Web Conference  
, behaviours and needs of the users.  ...  With the rise of social networking sites user information is becoming increasingly complex and sophisticated.  ...  The research presented in this paper has been conducted as part of the DecarboNet project (www.decarbonet.eu), Grant Agreement No. 610829.  ... 
dblp:conf/semweb/FernandezASB14 fatcat:skxiadkkevfi5l4n7uypqmxqna
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