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Št. zadetkov: 5
Semantic Sentiment Analysis of Twitter
Hassan Saif
Video in druga učna gradiva
Oznake: computer science;semantic web
Sentiment analysis over Twitter offer organisations a fast and effective way to monitor the publics’ feelings towards their brand, business, directors, etc. A wide range of features and methods for training sentiment classifiers for Twitter datasets have been researched in recent years with varying ...
Leto: 2012 Vir: videolectures.net
SentiCircles for Contextual and Conceptual Semantic Sentiment analysis of Twitter
Hassan Saif
Video in druga učna gradiva
Oznake: computer science;semantic web;big data
Leto: 2014 Vir: videolectures.net
Semantic Patterns for Sentiment Analysis of Twitter
Hassan Saif
Video in druga učna gradiva
Oznake: computer science;semantic web
Most existing approaches to Twitter sentiment analysis assume that sentiment is explicitly expressed through affective words. Nevertheless, sentiment is often implicitly expressed via latent semantic relations, patterns and dependencies among words in tweets. In this paper, we propose a novel approa ...
Leto: 2014 Vir: videolectures.net
Semantic Topic Compass - Classification based on Unsupervised Feature Ambiguity Gradation
Hassan Saif
Video in druga učna gradiva
Oznake: computer science;big data;semantic web
Characterising social media topics often requires new features to be continuously taken into account, and thus increasing the need for classifier retraining. One challenging aspect is the emergence of ambiguous features, which can affect classification performance. In this paper we investigate the i ...
Leto: 2016 Vir: videolectures.net
A Semantic Graph-based Approach for Radicalisation Detection on Social Media
Hassan Saif
Video in druga učna gradiva
Oznake: computer science;big data;semantic web
From its start, the so-called Islamic State of Iraq and the Levant (ISIL/ISIS) has been successfully exploiting social media networks, most notoriously Twitter, to promote its propaganda and recruit new members, resulting in thousands of social media users adopting a pro-ISIS stance every year. Auto ...
Leto: 2017 Vir: videolectures.net
Št. zadetkov: 5
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