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Hello TextMine Community,
I am currently trying to build a pipeline to process long Vietnamese text — the input data often has missing punctuation, contains slang and spelling errors. The goals are:

1. Identify the main topic (topic modeling),
2. Extract proper named entities (Named Entity Recognition),
3. Analyze implied sentiment (implicit sentiment analysis).
   I am wondering:
   What is the most effective way to process the premise of this “non-standard” French text?

Edited by Tap Road 1 day ago