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Estimating Reputation Polarity on Microblog Posts

Maria-Hendrike Peetz, Maarten de Rijke, Rianne Kaptein
2016 Information Processing & Management  
We address the task of detecting the reputation polarity of social media updates, that is, deciding whether the content of an update has positive or negative implications for the reputation of a given  ...  To this end, automatic methods for extracting discriminative features for reputation polarity detection can play a role.  ...  Gârbacea et al. / Detecting the Reputation Polarity of Microblog Posts  ... 
doi:10.1016/j.ipm.2015.07.003 fatcat:3hypbcp7svdjxiilnq7ip4eqla

Using social media for continuous monitoring and mining of consumer behaviour

Michail Salampasis, Georgios Paltoglou, Anastasia Giachanou
2014 International Journal of Electronic Business  
In this paper we present an initial investigation of the use of social media for the continuous monitoring and mining of consumer behaviour.  ...  Social communication and microblogging services, together with the ubiquitous online access which keep Internet users constantly connected, provide unprecedented capabilities for the constant connectivity  ...  The dataset that was used was extracted from social websites. The results showed that the proposed classifier outperformed machine learning approaches in the task of polarity detection.  ... 
doi:10.1504/ijeb.2014.057905 fatcat:nnvyaynnube5vgyvlpv32jdknm

Microblog Sentiment Analysis with Emoticon Space Model [chapter]

Fei Jiang, Yiqun Liu, Huanbo Luan, Min Zhang, Shaoping Ma
2014 Communications in Computer and Information Science  
By projecting words and microblog posts into an emoticon space, the proposed model helps identify subjectivity, polarity and emotion in microblog environments.  ...  They are therefore regarded as one of the most important signals for microblog sentiment analysis.  ...  Because a large number of microblog posts are generated every day, the mining of sentiments from this data source assists in the performance of research on various topics, such as analyzing the reputation  ... 
doi:10.1007/978-3-662-45558-6_7 fatcat:uyc6l474w5fhnidakwndxkzjsq

Sentiment Analysis in Social Streams [chapter]

Hassan Saif, F. Javier Ortega, Miriam Fernández, Iván Cantador
2016 Human–Computer Interaction Series  
In this chapter we review and discuss the state of the art on sentiment analysis in social streams -such as web forums, micro-blogging systems, and social networks-, aiming to clarify how user opinions  ...  We show, for example, that social streams may use vocabularies and expressions that exist outside the mainstream of standard, formal languages, and may reflect complex dynamics in the opinions and sentiments  ...  In this sense, determining the reputation of the authors of a content can be helpful for opinion spam detection.  ... 
doi:10.1007/978-3-319-31413-6_7 dblp:series/hci/SaifOFC17 fatcat:k5r5yiice5fjbdvvtqg73wcdhm

Using an Emotion-based Model and Sentiment Analysis Techniques to Classify Polarity for Reputation

Jorge Carrillo de Albornoz, Irina Chugur, Enrique Amigó
2012 Conference and Labs of the Evaluation Forum  
The experimental results prove that sentiment analysis techniques are a good starting point for creating systems for automatic detection of polarity for reputation.  ...  In this paper, we study the feasibility of applying complex sentiment analysis methods to classifying polarity for reputation.  ...  This suggests that studying polarity for reputation in social media, especially in such microblogging services as Twitter, needs more context than the posts themselves.  ... 
dblp:conf/clef/Carrillo-de-AlbornozCA12 fatcat:u5ltqnnih5bubkls7fpwk6ksga

Microblog credibility indicators regarding misinformation of genetically modified food on Weibo

Jiaojiao Ji, Naipeng Chao, Shitong Wei, George A. Barnett, Chi-Hua Chen
2021 PLoS ONE  
Finally, we provide strategies that readers should be aware of when assessing the credibility of online posts and suggest improvements that Weibo can use to avoid rumormongering and enhance the science  ...  In addition, among the user identities, engagement, and extroversion are effective predictors, while reputation has almost no predictive power in this study.  ...  detection of GM food.  ... 
doi:10.1371/journal.pone.0252392 pmid:34061876 fatcat:j4uvu3inznef5mtok6e4bbgu2u

Real Time Twitter Sentiment Analysis using Natural Language Processing

Anupama B S, siddaganga institute of technology
2020 International Journal of Engineering Research and  
Data analysis of the tweets determine the polarity and inclination of vast population towards specific topic, item or entity.  ...  The primary aim is to provide a method for analyzing polarity score in noisy twitter streams. This paper reports on the design of a data analysis, extracting vast number of tweets.  ...  The closer the negation word is to the unigram word whose prior polarity is to be calculated, the more it should affect the polarity.  ... 
doi:10.17577/ijertv9is070406 fatcat:g2l6vohppbbcndvpt6lg2wkhd4

Comparison of Deep Learning and Random Forest for Rumor Identification in Social Networks [chapter]

T. Manjunath Kumar, R. Murugeswari, D. Devaraj, J. Hemalatha
2020 Advances in Intelligent Systems and Computing  
The schemes of rumor identification are verified by smearing fifteen sorts based on user's performances in Facebook data set to forecast whether a microblog post is a rumor or not.  ...  It converted a novel means of rumor-spreading stage. The problem of detecting rumors is now more important, especially in OSNs.  ...  The precision 'P' is the fraction of the correctly determined rumor to all the rumor microblogs detected.  ... 
doi:10.1007/978-981-15-1286-5_12 fatcat:lragrn66rvepbfzbijgdkou5ta

Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation

Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih
2021 IEEE Access  
The framework is generic to social media and specifically implemented for microblogs. It is completely transformed up to features level, in the context of microblogs.  ...  It is observed that quite a few surveys in the literature focus on some limited aspects of microblogs credibility but no literature survey and fundamental study exists that consolidates the work done.  ...  Competence: Reputation manipulations. Phishing, click-bait, Political Astroturf Meme, Fake Reviews, etc. Polarization, etc. Satire, Meme, Propaganda, Conspiracy, etc.  ... 
doi:10.1109/access.2021.3114417 fatcat:nawg5fgd55fyxcriho3urlxwoq

Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation

Elena Lloret, Ester Boldrini, Patricio Martinez-Barco, Manuel Palomar
2017 Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres  
The electronic Word of Mouth has become the most powerful communication channel thanks to the wide usage of the Social Media.  ...  The appropriateness and usefulness of our model is demonstrated by its successful results and great potential in real-life applications, thus meaning a relevant advancement of the state-of-the-art approaches  ...  Acknowledgments This research work has been partially funded by the Generalitat Valenciana and the Spanish Government through the projects DIIM2.0 (PROMETEOII/2014/001), TIN2015-65100-R and TIN2015-65136  ... 
doi:10.18653/v1/w17-1006 dblp:conf/acl-multiling/LloretBMP17 fatcat:d3pl4qu2qvg27coticycu4cvyi

Semantic Space Models for Profiling Reputation of Corporate Entities

Jussi Karlgren, Linus Ericsson
2013 Conference and Labs of the Evaluation Forum  
Gavagai used its commercially available system for the filtering and polarity tasks in the evaluation campaign for online reputation management systems at CLEF 2013.  ...  The system is built for large scale analysis of streaming text and as part of the services Gavagai provides, it measures the public attitude visavi targets of interest.  ...  Real life experimental data The profiling task was defined to be based on real data, using a set of microblog posts from Twitter filtered to contain an entity name.  ... 
dblp:conf/clef/KarlgrenE13 fatcat:nwe2lhvha5d6nhbk6wgc4pjrzi

Extracting Information from Microblogs Posted During Natural Disasters

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This system automatically annotated the FIRE-2015 dataset of microblog track with 97% accuracy.  ...  This paper is based on the experiments performed on the 2017 Microblog Track provided by Forum of Information Retrieval & Evaluation.  ...  METHODOLOGY A) Task Description The FIRE track consists of microblogs with approx. 50000 posted during Nepal Earthquake of 2015 in the TREC format.  ... 
doi:10.35940/ijitee.c9109.029420 fatcat:jqxshjmr7ncglfkpzafzlqtgxu

UAMCLyR at RepLab 2013: Profiling Task

Esaú Villatoro-Tello, Carlos Rodríguez-Lucatero, Christian Sánchez-Sánchez, Adrián Pastor López-Monroy
2013 Conference and Labs of the Evaluation Forum  
entity's reputation, i.e., polarity for reputation.  ...  This paper describes the participation of the Language and Reasoning Group of UAM at RepLab 2013 Profiling evaluation lab.  ...  Introduction From its inception in 2006, Twitter has become in one of the most important platform for microblog posts.  ... 
dblp:conf/clef/Villatoro-TelloRSL13 fatcat:vm2vswxoy5hrxhtwuf3fbzojuu

Sentiment Intensity Analysis of Informal Texts

Imranul Kabir, Subhenur Latif, Md. Saddam
2016 International Journal of Computer Applications  
Microblogging web-sites are used here as rich sources of data for opinion mining and sentiment analysis which is tested on well-known training data sets.  ...  This paper presents a method for an automatic collection of a corpus that can be used to train a sentiment classifier which determines whether an expression is neutral or polar.  ...  All this information can be obtained from microblogging services, as their users post everyday what they like/dislike, and their opinions on many aspects of their life.  ... 
doi:10.5120/ijca2016911195 fatcat:7yvdjnlo3relbfoc74emnesny4

Machine learning-based sentiment analysis of Twitter data
Maşın təlimi əsasında Twitter məlumatlarının sentiment analizi

Makrufa Hajirahimova, Azerbaijan National Academy of Sciences, Institute of Information Technology, Marziya Ismayilova, Azerbaijan National Academy of Sciences, Institute of Information Technology
2022 Problems of Information Society  
The role of sentiment analysis increased with the advent of the social network era and the rapid spread of microblogging applications and forums.  ...  ) of tweets related to the COVID-19 corona virus pandemic.  ...  The role of SA has significantly increased in the wide discussions on social networks, forums, blogs, microblogging.  ... 
doi:10.25045/jpis.v13.i1.07 fatcat:vr7laspljbdwbd5zawjdclzone
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