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ce0aa6bc43
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feat(nlp): remove surprise & neutral emotions from NLP processing
These emotions often dominate due to the writing style of online users and don't provide an accurate picture of the sentiment.
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2026-02-24 15:28:30 +00:00 |
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e82ac8d73b
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feat(api): add stance markers & avg emotion per entity
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2026-02-24 15:12:17 +00:00 |
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ccba6a5262
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feat(api): add cultural analysis endpoint with identity markers
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2026-02-24 14:25:53 +00:00 |
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257eb80de7
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feat(api): add average thread length per emotion
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2026-02-23 19:09:48 +00:00 |
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3a23b1f0c8
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feat(api): add average thread depth
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2026-02-23 18:14:34 +00:00 |
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04b7094036
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feat(api): add cultural endpoint
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2026-02-23 17:14:12 +00:00 |
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c11b4bb85b
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refactor: move NLP to analysis dir
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2026-02-17 18:51:15 +00:00 |
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8fbf32b67c
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feat(linguistic): add most common 2, 3 length n-grams
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2026-02-17 18:26:40 +00:00 |
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d27ba3fca4
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refactor: extract interaction and linguistic analysis into dedicated classes
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2026-02-17 18:00:16 +00:00 |
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83010aee55
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refactor: extract emotional analysis out of stat_gen
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2026-02-17 17:40:29 +00:00 |
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70b34036db
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refactor: extract temporal analysis into it's own class
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2026-02-17 17:35:28 +00:00 |
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