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Lexicon-based Bot-aware Public Emotion Mining and Sentiment Analysis of the Nigerian 2019 Presidential Election on Twitter

Temitayo Matthew Fagbola, Surendra Colin
2019 International Journal of Advanced Computer Science and Applications  
Online social networks have been widely engaged as rich potential platforms to predict election outcomes' in several countries of the world.  ...  In this paper, lexicon-based public emotion mining and sentiment analysis were conducted to predict win in the 2019 presidential election in Nigeria. 224,500 tweets, associated with the two most prominent  ...  excellent tool to infer and estimate public sentiment in online social networks about objects and/or offline social events.  ... 
doi:10.14569/ijacsa.2019.0101047 fatcat:l3rdcvorfrb7tl72ujtwmj3h4i

Stance Detection on Social Media: State of the Art and Trends [article]

Abeer AlDayel, Walid Magdy
2020 arXiv   pre-print
Stance detection on social media is an emerging opinion mining paradigm for various social and political applications wheresentiment analysis might be seen sub-optimal.  ...  stance detection on social media  ...  The sentiment analysis has a minuscule effect on detecting the accurate stance on social media.  ... 
arXiv:2006.03644v1 fatcat:hw3qqg2k3vbkjodef764c46ajy

Detection of Dangerous Events on Social Media: A Perspective Review [article]

M. Luqman Jamil, Sebastião Pais, João Cordeiro
2022 arXiv   pre-print
This paper introduces a concept of dangerous events to approach this problem and their three main types based on their characteristics: action, scenarios, and sentiment-based dangerous events.  ...  The amount of time spent and reliance of people on social media makes it a vital resource for detecting events happening in real life.  ...  This work was supported by National Founding from the FCT-Fundacão para a Ciência e a Tecnologia, through the MOVES Project-PTDC/EEI-AUT/28918/2017 and by operation Centro-01-0145-FEDER-000019-C4-Centro  ... 
arXiv:2204.01351v1 fatcat:tahdbhyeqnhszlfopbxsm2nmim

Predictive Analysis on Twitter: Techniques and Applications [chapter]

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
2018 Lecture Notes in Social Networks  
Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide  ...  Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking  ...  Extraction of Signals We make predictions for the outcome of real-world events based on the insights we collect from big social data, and these insights are extracted as various signals such as sentiment  ... 
doi:10.1007/978-3-319-94105-9_4 fatcat:knquzcuqcjdjjguzq435nq5kni

Predictive Analysis on Twitter: Techniques and Applications [article]

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
2018 arXiv   pre-print
Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide  ...  Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking  ...  Extraction of Signals We make predictions for the outcome of real-world events based on the insights we collect from big social data, and these insights are extracted as various signals such as sentiment  ... 
arXiv:1806.02377v1 fatcat:gm5cqpmgvfggzgxgzocv4c3fqi

Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives [article]

Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
2018 arXiv   pre-print
In particular, user-generated content posted in social networks, like Twitter and Facebook, can be seen as a comprehensive documentation of our society, and thus meaningful analysis methods over such archived  ...  To answer these questions, one needs to analyze archived documents and data about the query entities, such as old news articles or social media archives.  ...  with Ensembles and Active leaRners).  ... 
arXiv:1810.11017v1 fatcat:44ts5exkqjdjhgh7angappl6t4

A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations [article]

Marius Paraschiv, Nikos Salamanos, Costas Iordanou, Nikolaos Laoutaris, Michael Sirivianos
2021 arXiv   pre-print
modeling and sentiment analysis are considered.  ...  Detecting disinformation must inevitably rely on the structure of the network, on users particularities and on event occurrence patterns.  ...  For this purpose and for the US Elections dataset only, we carry out two tasks, topic detection and sentiment analysis of the root-tweet content.  ... 
arXiv:2109.11781v1 fatcat:roo6bvog7ffmxodpyrmb4bct3m

A Study of Sentiment and Trend Analysis Techniques for Social Media Content

Asad Mehmood, Abdul S. Palli, M.N.A. Khan
2014 International Journal of Modern Education and Computer Science  
Furthermore, we can fairly estimate the degree of positivity and negativity of the opinions and sentiments based on the content obtained from a particular social media.  ...  The analysis based on sentiments can pave way for automatic trend analysis, topic recognition and opinion mining etc.  ...  [2] proposed a system to detect sub-events related to a crisis situation based on YouTube and Flickr data such as picture or video.  ... 
doi:10.5815/ijmecs.2014.12.07 fatcat:ut754cl27fgkfiulvupw4hbf5a

Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis

Widodo Budiharto, Meiliana Meiliana
2018 Journal of Big Data  
Availability of data and materials Not applicable. Consent for publication Not applicable. Ethics approval and consent to participate Not applicable. Funding Not applicable.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ...  This paper proposes a new framework to predict the election result and sentiment analysis from Twitter data that focuses on Indonesia Election in 2019.  ... 
doi:10.1186/s40537-018-0164-1 fatcat:qx4dzcpzcfawzd7pethtzht7pe

Election Prediction on Twitter: A Systematic Mapping Study

Asif Khan, Huaping Zhang, Nada Boudjellal, Arshad Ahmad, Jianyun Shang, Lin Dai, Bashir Hayat, M. Irfan Uddin
2021 Complexity  
The results show that most of the studies implemented sentiment analysis (SA) followed by volume-based and social network analysis (SNA) approaches.  ...  Conducted a systematic mapping study (SMS) on election predictions on Twitter and provided empirical evidence for the work published between January 2010 and January 2021. Results.  ...  Li, "Predicting elections from social networks based on sub-event detection and sentiment analysis," in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and  ... 
doi:10.1155/2021/5565434 fatcat:cwkd6rz4cndsboibxlpzvpnx2u

Assessing Sentiment of the Expressed Stance on Social Media [article]

Abeer Aldayel, Walid Magdy
2019 arXiv   pre-print
One may express a viewpoint towards a topic by using positive or negative language. This paper examines how the stance is being expressed in social media according to the sentiment polarity.  ...  Our analyses reveal that sentiment and stance are not highly aligned, and hence the simple sentiment polarity cannot be used solely to denote a stance toward a given topic.  ...  .: Predicting elections from social networks based on sub-event detection and sentiment analysis. In: International Conference on Web Information Systems Engineering. pp. 1-16. Springer (2014)  ... 
arXiv:1908.03181v1 fatcat:smejtdfwg5fvxphdv5lskri5q4

Predicting Election Results using NLTK

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to obtain user's opinions and sentiments.  ...  on analysis approaches such as sentiment analysis.  ...  data from online social networks as the data source to predict the outcome of an election. [2] .  ... 
doi:10.35940/ijitee.a4399.119119 fatcat:aq6sxjb44nfgvkkpxyzpr7lueu

A Survey of Data Mining Techniques for Social Media Analysis [article]

Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
2014 arXiv   pre-print
People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters.  ...  Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44].  ...  Topic Detection and Tracking on Social Network Topic Detection and Tracking (TDT) on social network employs different techniques for discovering the emergent of new topics (or events) and for tracking  ... 
arXiv:1312.4617v2 fatcat:7zulil64vfhrpeexj5mcs7canq

Data Analysis and Visualization of Continental Cancer Situation by Twitter Scraping

Md. Hosne Al Walid, Department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh
2019 International Journal of Modern Education and Computer Science  
We used sentiment analysis and natural language processing to classify them into positive, negative and neutral tweets to determine which of the tweet means to have cancer and which don't.  ...  Recently Twitter has been very popular to be used to predict and monitor real-world outcomes as well as health-related concerns. Nowadays people are using social media in any situation.  ...  Predict political elections by analyzing sentiments expressed on Twitter [9] To examine the predictive power of social media (especially, Twitter) using sentiment analysis methods.  ... 
doi:10.5815/ijmecs.2019.07.03 fatcat:crjksly6ojavdp2pcbg3p4tauq

A Framework for Real-Time Sentiment Analysis of On-line Micro-texts with Sentiment Drift Detection Method

Ritesh Srivastava, M. P. S Bhatia
2017 International Journal of Software Engineering and Its Applications  
This paper offers a framework for the real-time sentiment analysis of on-line micro-texts with sentiment drift detection method.  ...  Nowadays, the Twitter data streams have become most trusted on-line micro-texts (tweets) for sensing and monitoring the public opinion for any entity (event, topic or product).  ...  Recently, many works have been carried out for mining public opinion on real events by utilizing the textual contents of Twitter, such as election result prediction [1, 2, 3, 4, 5, 6, 7] and [9] .  ... 
doi:10.14257/ijseia.2017.11.1.07 fatcat:diyjokzwvvd4hdiooca64yepqq
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