Topic Modeling: Perspectives From a Literature Review

نویسندگان

چکیده

Topic modeling is a Natural Language Processing technique that has gained popularity over the last ten years, with applications in multiple fields of knowledge. However, there insufficient empirical evidence to show how this field study developed as well main models have been applied different contexts. The objective paper analyze evolution topic technique, areas which it applied, and are recommended for specific types data. methodology based on bibliometric analysis. First, we searched Web Science Scopus databases. We then used scientometric techniques Tree methodology, allowed us search results from perspectives classics, structure, trends. USA China among most productive countries mainly identification sub-topics short texts, such social networks blogs. conclusion work versatile can complement systematic literature reviews well-received academic research will help researchers academics recognize importance these reviewing large volumes unstructured information, articles, general, reviews.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2023

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3232939