Towards Pattern Recognition with Network Science and Natural Language Processing for Information Retrieval

Garg, Muskan; Kumar, M. Vijaya; Samanta, Debabrata

doi:10.5220/0011779700003411

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In the modern world, specialized programs (bots) write comments, news, reviews, which may contain false information. As a result, it is extremely important to know whether a given text was written by a real person or a bot. This work aims to study the semantic trajectories of texts in natural languages to analyse the aforementioned problem. The study utilizes the concepts of vector embeddings and their n-grams, as well as methods for (1) clustering the semantic space, (2) analysing the position of texts on the 'entropy-complexity' plane, (3) estimating the intrinsic dimensionalities of vector language representations, and (4) topological data analysis.

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Towards Pattern Recognition with Network Science and Natural Language Processing for Information Retrieval

Cited by 3 publications

References 0 publications

Navigating Sex-Specific Disease Dynamics in Incident Dementia

Navigating Sex-Specific Disease Dynamics in Incident Dementia

Spot the bot: large-scale natural language structure

Climate Change

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