Sports-fanaticism formalism for sentiment analysis in Arabic text

Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM

“…In order to demonstrate the performance of the proposed model, compare and analyze it with the models in references [ 13 , 14 ] and [ 17 ], optimize the training parameters of each comparative experiment for many times, and select the experimental data with the best effect. The statistics of the experimental results are shown in Table 2 .…”

“…Compared with deep learning algorithm, its analysis accuracy is low, lower than 0.80. Similarly, reference [ 14 ] used machine learning algorithm for text classification, which used automatic filtering to preprocess the text, but lacked comprehensive analysis and extraction of text features. Therefore, its accuracy is only 0.78.…”

“…But the method is more traditional and difficult to apply to the complex text environment of microblog. Reference [ 14 ] developed a classification model based on machine learning algorithm to realize the social website automatically filtering out the messages from the visitors for avoiding excessive speech, but the performance of the single model was slightly deficient. The traditional model based on motion dictionary is simple, fast, and stable, but it also has limitations.…”

Lurk or De-Lurk?

“…Sport-related misbehavior and fanaticism are becoming ever more apparent and public, as a result of developments in social networking (Bass et al, 2014). Sport fanaticism is described as a psychological feeling characterized by blind animosity (hatred without cause) towards competing teams and a blind fondness for one's favorite teams (Alqmase et al, 2021). Four distinct elements of sport fanaticism have been discovered and validated; first: instigation; this component indicates hostile social contact between sport followers and out-group football fans.…”

“…Four; superstition; this element concerns a sport fan's ritualistic activity as related to team colors, uniforms, and viewership behavior (Dwyer et al, 2018). The fanatic indicators that promote sport -fanaticism are aggressiveness, passion, hatred, and agitation, whereas the anti-fanatic indicators that decrease sport fanaticism are affection, knowledge, adaptability, and respect (Alqmase et al, 2021). In this regard, studies have been conducted on football fans' fanaticism and violence in the political square serve which as a point of reference for policy suggestions to avoid a scenario of national security risk because of damaging, hostile behavior (Budi & Widyaningsih, 2021).…”