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If you have any experience on sentiment analysis, could you please tell me how I can analyse these sentences, which tool, library, module should I need?

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I know that many of you are English speaker native. There are so many tools for English language, less for Italian one. I have tried with Fasttext and it did not work. I also thought to build one from scratch, but I did not know how to do it, which elements should be taken into account (top words, adjectives, nouns, n-grams...) to create a dictionary. If you could please provide an example of sentiment analysis with an Italian sentence (or with the two that I shown above), it would be great to understand what I would need.

Thank you

  • Perhaps something here can help: https://stackoverflow.com/questions/29169732/sentiment-analysis-of-non-english-texts –  Jun 09 '20 at 14:23
  • I already saw that question and all the material around the web. Probably I have been using the wrong module, library, installation but I have never had the opportunity to analyse the sentiment of a text in Italian, but only in English. So I would really appreciate if you could show me how to do it, which modules and libraries I will need –  Jun 09 '20 at 14:26
  • try this https://nicgian.github.io/Sentita/ – Darkknight Jun 10 '20 at 01:58

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You can use jointly Spacy and HuggingFace. For instance, for sentiment analysis, I used this and it worked.

Antonio Ercole De Luca
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You can try sentita:

https://github.com/NicGian/SentITA

it's pip installable and it has a pretrained model to use (explanations are provided into the readme).

Alessandro Gianfelici
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