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Journal ArticleDOI

GOAALLL!: Using Sentiment in the World Cup to Explore Theories of Emotion

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TLDR
Preliminary analysis of a World Cup twitter corpus using sentiment analysis techniques seems to suggest that, contrary to assumptions in sports economics, excitement relates to expressions of negative emotion.
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This article is published in Image and Vision Computing.The article was published on 2017-09-01. It has received 27 citations till now. The article focuses on the topics: Sentiment analysis.

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Citations
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Journal ArticleDOI

Fuzzy rule based unsupervised sentiment analysis from social media posts

TL;DR: The proposed fuzzy system integrates Natural Language Processing techniques and Word Sense Disambiguation using a novel unsupervised nine fuzzy rule based system to classify the post into: positive, negative or neutral sentiment class.
Journal ArticleDOI

Twitter-Based BIRGing: Big Data Analysis of English National Team Fans During the 2018 FIFA World Cup:

TL;DR: In this paper, the authors apply the premise that sports fans tend to associate themselves with a successful team (BIRGing), while disassociating themselves with unsuccessful teams (CORFing).
Journal ArticleDOI

The emotional antecedents of solidarity in social media crowds

TL;DR: Results indicate that participation in these crowds is self-sustaining in the medium term and can be stimulated or suppressed by emotional expression in a short term, depending on the discrete emotion expressed.
Journal ArticleDOI

Feature-Level Rating System Using Customer Reviews and Review Votes

TL;DR: This work studies how to obtain feature-level ratings of the mobile products from the customer reviews and review votes to influence decision-making, both for new customers and manufacturers.
Proceedings ArticleDOI

Emotions Trump Facts: The Role of Emotions in on Social Media: A Literature Review

TL;DR: An overview of research regarding expressing emotions on social media and their impact is provided, and recommendations for future research in the area are made.
References
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Book ChapterDOI

Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.

Correlation-based Feature Selection for Machine Learning

Mark Hall
TL;DR: This thesis addresses the problem of feature selection for machine learning through a correlation based approach with CFS (Correlation based Feature Selection), an algorithm that couples this evaluation formula with an appropriate correlation measure and a heuristic search strategy.
Book

Natural Language Processing with Python

TL;DR: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
Journal ArticleDOI

The Hot Hand in Basketball: On the Misperception of Random Sequences

TL;DR: This article investigated the origin and validity of common beliefs regarding "the hot hand" and "streak shooting" in the game of basketball and found no evidence for a positive correlation between the outcomes of successive shots.
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