Word Sets, Keywords, and Text Contents: An Investigation of Text Topic on the Computer

Autores

  • Antonio P. Berber Sardinha Pontifícia Universidade Católica de São Paulo

Palavras-chave:

Negation, Minimalist Program, Checking Theory, Linguistic Change, Grammaticalization.

Resumo

This study presents a methodology for the identification of coherent word sets. Eight sets were initially identified and further grouped into two main sets: a `company' set and a `non-company' set. These two sets shared very few collocates, and therefore they seemed to represent distinct topics. The positions of the words in the `company' and `non-company' sets across the text were computed. The results indicated that the `non-company' sets referred to `company' implicitly. Finally, the key words were compared to an automatic abridgment of the text which revealed that nearly all key words were present in the ahridgment. This was interpreted as suggesting that the key words may indeed represent the main contents of the text.

Publicado

2019-06-07

Como Citar

Sardinha, A. P. B. (2019). Word Sets, Keywords, and Text Contents: An Investigation of Text Topic on the Computer. DELTA: Documentação E Estudos Em Linguística Teórica E Aplicada, 15(1). Recuperado de https://revistas.pucsp.br/index.php/delta/article/view/42479

Edição

Seção

Artigos