Article Instance
API Endpoint for journals.
GET /api/articles/27107/?format=api
{ "pk": 27107, "title": "Grammar-Based and Lexicon-Based Techniques to Extract Personality Traitsfrom Text", "subtitle": null, "abstract": "Language provides an important source of information to pre-dict human personality. However, most studies that have pre-dicted personality traits using computational linguistic meth-ods have focused on lexicon-based information. We investigateto what extent the performance of lexicon-based and grammar-based methods compare when predicting personality traits. Weanalyzed a corpus of student essays and their personality traitsusing two lexicon-based approaches, one top-down (Linguis-tic Inquiry and Word Count (LIWC)), one bottom-up (topicmodels) and one grammar-driven approach (Biber model), aswell as combinations of these models. Results showed thatthe performance of the models and their combinations demon-strated similar performance, showing that lexicon-based top-down models and bottom-up models do not differ, and neitherdo lexicon-based models and grammar-based models. More-over, combination of models did not improve performance.These findings suggest that predicting personality traits fromtext remains difficult, but that the performance from lexicon-based and grammar-based models are on par.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "language; personality; traits; machine learning;computational linguistics; lexicon-based; grammar-based" } ], "section": "Posters: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/40k0g5j5", "frozenauthors": [ { "first_name": "Maira", "middle_name": "B.", "last_name": "Carvalho", "name_suffix": "", "institution": "Tilburg University", "department": "" }, { "first_name": "Max", "middle_name": "M.", "last_name": "Louwerse", "name_suffix": "", "institution": "Tilburg University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27107/galley/16743/download/" } ] }