Single Extractor

For the following code examples, Elemeta assumes a single metafeature extractor.

Sentiment Polarity

This extractor will automatically detect the sentiment of the text.

• Polarity ranges between [-1,1].

• -1 defines a negative sentiment, and 1 defines a positive sentiment.

• Negation words reverse the polarity.

>>> from elemeta.nlp.extractors.high_level.sentiment_polarity import SentimentPolarity
>>> sp = SentimentPolarity()
>>> sp("I love Superwise") #Output: 0.6369
>>> sp("I hate haters") #Output: -0.7845
>>> sp("This is not a super happy excited sentence") #Output: -0.5337

Detect Language

This extractor will automatically detect the language of the text.

>>> from elemeta.nlp.extractors.high_level.detect_language_fastText import DetectLanguage
>>> ld = DetectLanguage()
>>> ld("This text is in English") #Output: en
>>> ld("הטקסט הזה בעברית") #Output: he
>>> ld("Ce texte est en français") #Output: fr
>>> ld("这段文字是法语") #Output: zh