Topic Classification for Short Texts

Dan Claudiu Neagu (), Andrei Bogdan Rus (), Mihai Grec (), Mihai Boroianu () and Gheorghe Cosmin Silaghi ()
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Dan Claudiu Neagu: Cicada Technologies
Andrei Bogdan Rus: Cicada Technologies
Mihai Grec: Cicada Technologies
Mihai Boroianu: Cicada Technologies
Gheorghe Cosmin Silaghi: Babes-Bolyai University

A chapter in Advances in Information Systems Development, 2023, pp 207-222 from Springer

Abstract: Abstract In the context of TV and social media surveillance, constructing models to automate topic identification of short texts is a key task. This paper constructs worth-to-consider models for practical usage, employing Top-K multinomial classification methodology. We describe the full data processing pipeline, discussing about dataset selection, text preprocessing, feature extraction, model selection and learning, including hyperparameter optimization. We will test and compare popular methods including: standard machine learning, deep learning, and a fine-tuned BERT for topic classification.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-32418-5_12

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DOI: 10.1007/978-3-031-32418-5_12

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