Topic modeling in natural language texts
Topic modeling is a method for building a model of a collection of text documents. The model is able to determine topics for each of documents. Shifting from term space to space of extracted topics helps resolving synonymy and polysemy of terms. Besides, it allows for more efficient topic-sensitive...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
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| Series: | Труды Института системного программирования РАН |
| Subjects: | |
| Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/982 |