TY - GEN

T1 - Identifying Writers' Background by Comparing Personal Sense Thesauri

AU - Panicheva, P.

AU - Cardiff, J.

AU - Rosso, P.

N1 - Panicheva, P., Cardiff, J., Rosso, P. (2010). Identifying Writers’ Background by Comparing Personal Sense Thesauri. In: Hopfe, C.J., Rezgui, Y., Métais, E., Preece, A., Li, H. (eds) Natural Language Processing and Information Systems. NLDB 2010. Lecture Notes in Computer Science, vol 6177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13881-2_30

PY - 2010

Y1 - 2010

N2 - Analysis of blogpost writings is an important and growing research area. Both objective and subjective characteristics of a writer are detected. Words have word meaning that is common in the language and that is represented in their usage. Another component of word meaning, “personal sense”, not inherent in the language, but different for each person, reflects a meaning of words in terms of unique personal experience and carries the personal characteristics. In our research word meaning techniques are applied to represent personal sense of words in texts by different authors. Personalized concept structures are construed and used to infer authors’ perspective from text: various notions of context combined with different thesaurus similarity scales are applied to confirm that from a certain perspective similarity in the personalized thesauri with some restrictions can correspond to similarities in the occupation of the authors.

AB - Analysis of blogpost writings is an important and growing research area. Both objective and subjective characteristics of a writer are detected. Words have word meaning that is common in the language and that is represented in their usage. Another component of word meaning, “personal sense”, not inherent in the language, but different for each person, reflects a meaning of words in terms of unique personal experience and carries the personal characteristics. In our research word meaning techniques are applied to represent personal sense of words in texts by different authors. Personalized concept structures are construed and used to infer authors’ perspective from text: various notions of context combined with different thesaurus similarity scales are applied to confirm that from a certain perspective similarity in the personalized thesauri with some restrictions can correspond to similarities in the occupation of the authors.

KW - personal sense

KW - semantic relatedness

KW - co-occurrence based thesauri

KW - writer’s perspective

M3 - Conference contribution

SN - 978-3-642-13880-5

T3 - LNCS

SP - 288

EP - 295

BT - Natural Language Processing and Information Systems

PB - Springer Nature

T2 - 15th International Conference on Applications of Natural Language to Information Systems

Y2 - 23 June 2010 through 25 June 2010

ER -