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Use cases
Sentiment Analysis
Sentiment analysis aims at understanding the meaning of what is most subtle, contextual and cultural. Our main goal at Lettria is to reveal what is neutral, positive or negative in a document.
Emotion Analysis
Measures a full range of human emotions and sensitivities.
POS tagger
List the grammatical function of each word in your text (common noun, proper noun, adjective etc.)
NER
Locate and classify named entities in a document.
Lemmatizer
Figure out the primary root of a word (the infinitive of a conjugated verb, the singular of a plural word)
Tokenizer
Break down a sentence into manipulable linguistic units called tokens ( words, punctuation, numbers)
Coreference
Coreference is a work of semantic recovery that links a group of words to all equivalent formulations in the document
Language Recognition
Determines the language used in your sentence or document, among 50 possibilities.
Sentence Acts
Classify the sentences according to their type: affirmative, interrogative, imperative etc.
Keyword Extraction
Keyword detection is often used to create keyword clouds, detect recurring themes or identify offensive language in a comment.
Synonyms Generation
Enter at least 2 words, and discover a list of synonyms.