L'analisi del sentiment multilingue è un processo basato sull'intelligenza artificiale che consiste nell'estrazione del sentiment da dati contenenti diverse lingue. Si basa su modelli di machine learning (ML) in lingua madre, quindi c'è un modello separato per ciascuna lingua.​​ ​

Teams train each model on a varied corpus of human-tagged data in that language. Key processes include:​​ ​

  • Part-of-speech (POS) tagger: identifica congiunzioni, frasi subordinate, preposizioni e sostantivi per ogni lingua.​​ ​
  • Lemmatization: Reduces each word to its base form (lemma), accounting for gender, tense and conjugation rules in that language.​​ ​
  • Costrutti grammaticali: definisce negazioni e superlativi per identificare termini negativi e positivi.​​ ​
  • Polarità: determina la polarità negativa e positiva delle parole, tra -1 e +1, che vengono raggruppate per fornire il sentiment complessivo dei dati.​​ ​

Native-language models aren’t just a nice-to-have; they are essential. Every language operates on its own grammar, script and writing conventions. For example, there are no full stops in Thai, Arabic is written right to left and German assigns a grammatical gender to every noun. Dedicated models for French sentiment analysis and Spanish sentiment analysis learn each language’s own rules.​​ ​

Running an English machine learning model on multilingual data skews your analysis. It forces English rules onto other languages, delivering inaccurate insights. That leads to failed or ineffective social and digital marketing campaigns that tax resources and reduce return.​​ ​

Some systems translate text into English first or use multilingual pretrained models trained on many languages at once, but translation risks losing idioms and slang. Social posts often mix languages in a single message (code-switching), one of the sentiment analysis challenges every model has to handle.​​ ​

Ricava insight strategici per il business dalle conversazioni globali, senza perdere le sfumature linguistiche. Prova oggi stesso la classificazione del sentiment in Smart Inbox di Sprout Social.​​ ​