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Entity-Based Opinion Mining from Text and Multimedia [chapter]

Diana Maynard, Jonathon Hare
2015 Studies in Computational Intelligence  
because the target of the opinion is either known in advance or at least has a limited subset (e.g. film titles, product names, companies, political parties, etc.).  ...  Microposts such as tweets are, in some sense, the most challenging text type for text mining tools, and in particular for opinion mining, since the genre is noisy, documents have little context and assume  ... 
doi:10.1007/978-3-319-18458-6_4 fatcat:kydbtz5olfgrja5ozcjg5jkgcy

Identifying and Verifying News through Social Media

Steve Schifferes, Nic Newman, Neil Thurman, David Corney, Ayse Göker, Carlos Martin
2014 Digital Journalism  
Permanent repository link: http://openaccess.city.ac.uk/3071/ Link to published version: http://dx.Identifying and verifying new information quickly are key issues for journalists who use social media.  ...  gives some initial results from a major EU research project (Social Sensor), involving computer scientists, journalists, and media researchers, that is designing a new tool to search across social media for  ...  Acknowledgments Our thanks to the European Union for supporting this research as part of the Social Sensor consortium FP7 research grant 287975.  ... 
doi:10.1080/21670811.2014.892747 fatcat:l2sh6dhu7fc2ri2xq4btevyzu4

Characterising and evaluating dynamic online communities from live microblogging user interactions

Hugo Hromic, Conor Hayes
2019 Social Network Analysis and Mining  
However, there is no clear agreement in the literature for a definition of user community for the microblogging use case, leading to unreliable ground-truth data and evaluation.  ...  In this work, we differentiate between functional and structural definitions of communities for microblogging.  ...  respectively. */ for tw i ∈ T do author ← author(tw i ) time ← Q(time(tw i , q)) /* quantise the time of posting of the Tweet */ for m i ∈ mentions(tw i ) − replyTo(tw i ) − retweetOf(tw i ) − quoteOf  ... 
doi:10.1007/s13278-019-0576-8 fatcat:6us3xo3z4vhwbn3uxltropokau

Automatic event detection in microblogs using incremental machine learning

Tharindu Rukshan Bandaragoda, Daswin De Silva, Damminda Alahakoon
2017 Journal of the Association for Information Science and Technology  
We demonstrate these capabilities on tweets containing #microsoft and tweets containing #obama.  ...  The autonomous nature of topic separation, topic pathway generation, new topic identification and event detection, appropriates the proposed technique for extensive applications in microblog analysis.  ...  Acknowledgments The authors would like to thank the anonymous reviewers and edition for their valuable comments and suggestions to improve the quality of this paper.  ... 
doi:10.1002/asi.23896 fatcat:dbke623i3vgs7holmooc4kvbbq

A Survey on Visual Sentiment Analysis

Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato
2020 IET Image Processing  
To this aim, this paper considers a structured formalization of the problem which is usually used for the analysis of text, and discusses it's suitability in the context of Visual Sentiment Analysis.  ...  Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions.  ...  The methods of this area are useful to capture public opinion about products, services, marketing, political preferences and social events.  ... 
doi:10.1049/iet-ipr.2019.1270 fatcat:cuhaluxac5ar5ky4rkoqmug6x4

Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning [article]

Tharindu Bandaragoda
2020 arXiv   pre-print
This platform is demonstrated using two large datasets with over 1 million tweets.  ...  For fast-paced, a self-structuring and incremental learning technique was developed to automatically capture salient topics and corresponding dynamics over time.  ...  This accumulation of quantisation error is recorded for each node in the network.  ... 
arXiv:2009.09078v1 fatcat:izo3eyjc4vdo3jnttt7omvsv5q

Predicting demographics, moral foundations, and human values from digital behaviours

Kyriaki Kalimeri, Mariano G. Beiró, Matteo Delfino, Robert Raleigh, Ciro Cattuto
2019 Computers in Human Behavior  
This connection, along with the most predictive features that we provide for each attribute, might prove useful for designing personalised services, communication strategies, and interventions, and can  ...  These results call for further investigation since they are still far from unveiling individuals' psychological fabric.  ...  These findings are in line with existing literature studies on news selectivity and mechanisms of political opinion formation (Yeo et al., 2015) .  ... 
doi:10.1016/j.chb.2018.11.024 fatcat:ljlsx4ksy5g3xgmhmi4qiewmpe

Big Data Management and Analysis for Business Informatics - A Survey

Stéphane Marchand-Maillet, Birgit Hofreiter
2015 Enterprise Modelling and Information Systems Architectures - An International Journal  
We then investigate automated ways of performing data analysis for Business Intelligence.  ...  In this paper, we review technologies for enabling and empowering business activities, leveraging the content of this big data.  ...  ETD is of crucial importance for data analysis, event prediction and decision-making in many areas, including business, finance, or politics.  ... 
doi:10.18417/emisa.9.1.6 dblp:journals/emisaij/Marchand-MailletH14 fatcat:a7ffekoqznegthpf42gbxbzqgu

The Network Spectacle [chapter]

2018 Social Capital Online: Alienation and Accumulation  
As Jodi Dean (2005) has argued, the mass profusion of opinion symbolises the fantasies of abundance and participation very well and thus devalues the content of political discourse, as well as working  ...  We might question if this has come to pass given social media's affordances for providing the public with a forum to provide their opinions.  ... 
doi:10.16997/book16.g fatcat:ob63ignkuffovnngwkbrmvazfu

Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning

Tharindu Bandaragoda
2020
A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the Research Centre for Data Analytics and Cognition, La Trobe Business School, College of Arts, Social  ...  This accumulation of quantisation error is recorded for each node in the network.  ...  For instance, tweets are the outcome of social conversations and the expression of opinion that happens in the Twitter online social media platform.  ... 
doi:10.26181/5fa1df3806e82 fatcat:iok4r2kp3faplbmpf2goost24q

Community interpreting, translation, and technology

Christopher D. Mellinger, Nike K. Pokorn
2018 Translation and Interpreting Studies  
Anne-Sophie Rigaud, head of the gerontology department at the Broca hospital, and her team, for providing access to the LUSAGE Living Lab facilities, hence allowing the authors to carry out this study.  ...  Similarly, some religious or political material may be sensitive to some cultural or ethnical groups in the context of sentiment analysis and opinion mining as outlined above.  ...  Further compression such as by (sub-band) vector quantisation may reduce this risk [8] .  ... 
doi:10.1075/tis.00019.int fatcat:3gdc2iojrze4dhyvvs52fo7cuu

VIHAR 2017 proceedings [article]

Ricard Marxer
2019 Figshare  
iii. tweet and tweedle: tweets are soft weak chirps, often without any clear initial [ʔ] and with varying vowel qualities: [wi] or [ɦɛu]; tweedles are prolonged chirps or tweets with some voice modulation  ...  Acoustic analysis For the purpose of the acoustic analysis, we measured several acoustic features that were previously reported to predict affective ratings and categorization for laughter as well as for  ... 
doi:10.6084/m9.figshare.9905033.v1 fatcat:5vt2gm36qbaa5knq7o67ky5mmi

Lifelogging with SAESNEG: a system for the automated extraction of social network event groups

Benjamin Blamey
2022
This thesis presents SAESNEG, a System for the Automated Extraction of Social Network Event Groups; a pipeline for the aggregation of the personal social media footprint, and its partitioning into events  ...  Whilst previous systems have focused on the organisation of a single type of data, such as photos or Tweets respectively; SAESNEG handles a variety of types of social network documents found in a typical  ...  This area is distinct from the extraction of opinions and related information from text, referred to as opinion analysis, with tasks such as sentiment analysis (this division is discussed in section 3.2.2  ... 
doi:10.25401/cardiffmet.20285787 fatcat:mhnqh3bxhjgrhihrp2aajrgq3u

#WeJamminStill : agential realism and Trinidad and Tobago's absent terrorism narrative

Mya Kaisha Alexander-Owen, Caron E. Gentry
2019
It examines the reasons for the absence of a terrorism narrative for that country until very recently, where one might expect a narrative to have existed for decades.  ...  In applying both securitisation theories and Agential Realism to the case, it can be seen that history and culture are deeply entangled with the security politics of Trinidad and Tobago as a post-colonial  ...  In the early 1990s Theodore Becker's Quantum Politics was published, which offered a range of different suggestions for quantising political issues, though none of them appear to have become prominent  ... 
doi:10.17630/10023-19161 fatcat:7gnz2qnubva7xjgavmzwpovdpi

Co-creative events for engagement with digital cultural heritage collections

Franziska Mucha
2022
It focuses on three main research questions: • What are the challenges and benefits of co-creative events for these stakeholders?  ...  The thesis thus outlines practice-oriented approaches for effectively supporting these processes. It forms part of the POEM European Training Network on parti [...]  ...  For a nuanced analysis of the ideological-democratic struggles around participation across medial, political, and cultural contexts, Carpentier's (2011) book Media and Participation is helpful.  ... 
doi:10.5525/gla.thesis.82754 fatcat:jtthq5llhvdixosbswgvvcpbrm
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