Automatic labeling of training data for collecting tweets for ambiguous tv program titles

M Erdmann, E Ward, K Ikeda, G Hattori… - … on Social Computing, 2013 - ieeexplore.ieee.org
Twitter is a popular medium for sharing opinions on TV programs, and the analysis of TV
related tweets is attracting a lot of interest. However, when collecting all tweets containing a …

[BOOK][B] Classification of tweets using multiple thresholds with self-correction and weighted conditional probabilities

T Ahmad - 2020 - search.proquest.com
Emotion analysis aims to recognise emotions such as anger, joy and trust from texts. It is a
trending topic because it can be applied in important areas such as marketing, healthcare …

Toward a Short Text Classification Framework Based on Background Knowledge Discovery

I Taksa - Proceedings on the International Conference on …, 2015 - search.proquest.com
The ubiquitous, diverse and growing impact of digital living creates a massive amount of
short text--a search query, a twit or a caption. Short text frequently presents itself as an …

Composing a more complete and relevant Twitter dataset

H Veen - 2015 - essay.utwente.nl
Social data is widely used by many researchers. Facebook, Twitter and other social
networks are producing huge amounts of social data. This social data can be used for …

[PDF][PDF] Techniques for Analysis and Classification of

K Ikeda - 2013 - ir.library.osaka-u.ac.jp
With the advent of the Internet, an increasing number of online opinions on Web pages,
blogs and Bulletin Board System (BBS) are posted by consumers. These opinions can be …

Temporal and Contextual Evaluation of Background Knowledge Discovery for Short Text Classification

I Taksa, S Zelikovitz, A Spink - International Journal of Organizational …, 2012 - igi-global.com
Background Knowledge (BK) plays an essential role in machine learning for short-text and
non-topical classification. In this paper the authors present and evaluate two Information …