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Источник @procode404 · Post #3713 · 20 авг.

​🔥Тематическое моделирование LDA — [16:15] В ролике решается реальная задача Data Science — разделить отзывы на сайте по темам используя Python. Вы узнаете про LDA, предобработку текста и обучение модели, как правильно оценить результат, проанализировать его и предсказать тематику. Перейти к просмотру #видео#теория

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@NEWS_AND_TIPS · Post #2362 · 26.05.2024, 17:46

Telegram #FactCheck Feature Spotted in Code. We spotted some interesting code snippets that hint at a new "Fact Check" being in development. Here's what we found: 1. A dedicated area within the application for users to access fact-checking tools or information. 2. Fact-Check Submission and Editing: Users might be able to submit facts to be checked, edit their submissions, and delete them. 3. Fact-Checking Dialogs: Dialog boxes to interact with the fact-checking process, perhaps to confirm submissions, display detailed information, or edit entries. 4. User Notifications: Notifications and messages to inform users about the status of their fact-checks (submitted, edited, deleted). 5. Informational and Placeholder Text: Text elements providing explanations about fact-checking, as well as placeholders in input fields to guide user input. 6. Toast Messages: Instant feedback to users through toast notifications about actions taken related to fact-checking. Overall, these string resources suggest that the application is enhancing its functionality to include comprehensive fact-checking features, allowing users to engage with, submit, and manage fact-checked information. Note : Based on limited code, the exact functionality of the Fact Check feature is not yet clear. #Factcheck#Communitynotes#Beta