GenderClassification

In this work, we provide an empiri- cal analysis of differences in word use between genders in telephone conversa- tions, which complements the consid- erable body of work in sociolinguistics …...

English pronouns like he and they reliably re- flect the gender and number of the entities to which they refer. Pronoun resolution systems can use this fact to filter noun …...

The problem of automatically classifying the gender of a blog author has important appli- cations in many commercial domains. Exist- ing systems mainly use features such as words, word classes, …...

Accurate prediction of demographic attributes from social media and other informal online content is valuable for marketing, personalization, and legal in- vestigation. This paper describes the construction of a large, …...

Inferring attributes of discourse participants has been treated as a batch-processing task: data such as all tweets from a given author are gathered in bulk, processed, analyzed for a particular …...

AbstractIn gender classification, labeled data is often limited while unlabeled data is ample. This motivates semi-supervised learning for gender classification to improve the performance by exploring the knowledge in both …...

AbstractTextual information is of critical importance for automatic user classification in social media. However, most previous studies model textual features in a single perspective while the text in a user …...

AbstractIn realistic scenarios, a user profiling model (e.g., gender classification or age regression) learned from one social media might perform rather poorly when tested on another social media due to …...

In the Japanese language, particles and auxil- iary verbs in utterances tend to vary depend- ing on the speaker’s gender. Thus, the lin- guistic expressions within the utterance are an …...