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Topic Modelling of the Russian Corpus of Pikabu Posts: Author-Topic Distribution and Topic Labelling.

, , , , and . IMS, volume 2813 of CEUR Workshop Proceedings, page 101-116. CEUR-WS.org, (2020)

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Topic Modeling of Literary Texts Using LDA: on the Influence of Linguistic Preprocessing on Model Interpretability., , , , , , , and . FRUCT, page 305-312. IEEE, (2022)What Makes a Good Paraphrase: Do Automated Evaluations Work?, , , , and . CoRR, (2023)AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains., , , , , and . KONVENS, (2019)Opinion Mining for Modeling User Experience of Online Education: Sentiment Analysis and Keywords Extraction of Student Reviews., , and . FRUCT, page 187-195. IEEE, (2022)Towards Automatic Modelling of Thematic Domains of a National Literature: Technical Issues in the Case of Russian., , and . FRUCT, page 313-323. IEEE, (2021)Development of a database on the Russian prepositions semantics., , and . IMS (CLCO), page 106-115. ITMO University, (2019)Sentiment Analysis of Literary Texts vs. Reader's Emotional Responses., , , , , , , and . FRUCT, page 243-249. IEEE, (2023)Comparative Study of English, Dutch and German Prosodic Features (Fundamental Frequency and Intensity) as Means of Speech.. SPECOM, volume 8113 of Lecture Notes in Computer Science, page 86-91. Springer, (2013)Akku-Bohr-Hammer vs. Akku-Bohrhammer : Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains, , , , and . page 10. Erlangen, (2019)Topic Modelling of the Russian Corpus of Pikabu Posts: Author-Topic Distribution and Topic Labelling., , , , and . IMS, volume 2813 of CEUR Workshop Proceedings, page 101-116. CEUR-WS.org, (2020)