Browsing by Author "Bravo-Marquez, Felipe"
Now showing items 1-5 of 20
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Acquiring and Exploiting Lexical Knowledge for Twitter Sentiment Analysis
(University of Waikato, 2017)The most popular sentiment analysis task in Twitter is the automatic classification of tweets into sentiment categories such as positive, negative, and neutral. State-of-the-art solutions to this problem are based on ... -
AffectiveTweets: a Weka package for analyzing affect in tweets
(Microtome Publishing, 2019)AffectiveTweets is a set of programs for analyzing emotion and sentiment of social media messages such as tweets. It is implemented as a package for the Weka machine learning workbench and provides methods for calculating ... -
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis
(IOS Press, 2016-01-01)The classification of tweets into polarity classes is a popular task in sentiment analysis. State-of-the-art solutions to this problem are based on supervised machine learning models trained from manually annotated examples. ... -
Building a Twitter opinion lexicon from automatically-annotated tweets
(Elsevier, 2016-09-15)Opinion lexicons, which are lists of terms labelled by sentiment, are widely used resources to support automatic sentiment analysis of textual passages. However, existing resources of this type exhibit some limitations ... -
Combining strengths, emotions and polarities for boosting Twitter sentiment analysis
(2013-01-01)Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide range of fields such as ...
Co-authors for Felipe Bravo-Marquez
Supervised by Felipe Bravo-Marquez
Showing up to 5 theses - most recently added to Research Commons first.
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Contextualised approaches to embedding word senses
(The University of Waikato, 2020)Vector representations of text are an essential tool for modern Natural Language Processing (NLP), and there has been much work devoted to finding effective methods for obtaining such representations. Most previously ...
