This paper presents a study on if and how automatically extracted keywords can be used to
improve text categorization. In summary we show that a higher performance—as measured …

This paper describes a new approach for estimating term weights in a document, and shows
how the new weighting scheme can be used to improve the accuracy of a text classifier. The …

Due to the Internet Revolution, human conversational data--in written forms--are
accumulating at a phenomenal rate. At the same time, improvements in speech technology …

As social media is opening up such as Twitter and Sina Weibo, 1 large volumes of short
texts are flooding on the Web. The ocean of short texts dilutes the limited core semantics of …

Abstract The Author Profiling (AP) task aims to distinguish between groups of authors
labeled by a common demographic characteristic such as gender or age by studying the …

Traditional text classification studied in the information retrieval and machine learning
literature is mainly based on topics. That is, each class represents a particular topic, eg …

Comparable corpora come as an alternative to parallel corpora for the languages where the
parallel corpora is scarce. The efficiency of the models trained on comparable corpora is …

An efficient way to automatically classify documents may be provided by automatic text
summarization, the task of creating a shorter text from one or several documents. This paper …

This paper presents work where a general-purpose text categorization method was applied
to categorize medical free-texts. The purpose of the experiments was to examine how such a …

Because of the critical role that communication plays in a team's ability to coordinate action,
the measurement and analysis of online transcripts in order to predict team performance is …