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Author Profile in Social Media: Identifying Information about Gender, Age, Emotions and beyond
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rangel, Francisco |
| Copyright Year | 2013 |
| Abstract | Author profiling distinguishes between classes of authors studying their sociolect aspect, that is, how language is shared by people (Koppel et al. 2003) (Argamon et al., 2009). This helps in identifying profiling aspects such as gender, age, native language, or personality type. Author profiling is a problem of growing importance in applications in forensics, security, and marketing. E.g., from a forensic linguistics perspective one would like being able to know the linguistic profile of the author of a harassing text message (language used by a certain type of people) and identify certain characteristics (language as evidence). Similarly, from a marketing viewpoint, companies may be interested in knowing, on the basis of the analysis of blogs and online product reviews, the demographics of people that like or dislike their products. |
| File Format | PDF HTM / HTML |
| DOI | 10.14236/ewic/fdia2013.15 |
| Alternate Webpage(s) | https://ewic.bcs.org/upload/pdf/ewic_fdia13_paper14.pdf |
| Alternate Webpage(s) | https://doi.org/10.14236/ewic%2Ffdia2013.15 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
