Document frequency of Wikipedia.
[Endpoint] https://api.apitore.com/api/16

Language detection.
[Endpoint] https://api.apitore.com/api/22

Simple sentence separator.
[Endpoint] https://api.apitore.com/api/17

Sentence Similarity.
[Endpoint] https://api.apitore.com/api/53

SentencePiece tokenizer (tweet).
[Endpoint] https://api.apitore.com/api/38

SentencePiece tokenizer (wikipedia).
[Endpoint] https://api.apitore.com/api/37

Japanese sentiment analyzer. (tokenized by SentencePiece)
[Endpoint] https://api.apitore.com/api/39

Return synonymous words. (equal to "word2vec distance")
[Endpoint] https://api.apitore.com/api/9

Tweet summarization.
[Endpoint] https://api.apitore.com/api/27

Call Twitter APIs.
[Endpoint] https://api.apitore.com/api/23

Call Twitter APIs with sentiment by Apitore sentiment API.
[Endpoint] https://api.apitore.com/api/25

Call Twitter APIs with word2vec query expansion.
[Endpoint] https://api.apitore.com/api/24

Call Twitter APIs with word2vec query expansion and sentiment analysis.
[Endpoint] https://api.apitore.com/api/26

Word2Vec.
[Endpoint] https://api.apitore.com/api/8

You can access ALL WordNet DB.
[Endpoint] https://api.apitore.com/api/46

Return hypernym words.
[Endpoint] https://api.apitore.com/api/42

Return hyponym words.
[Endpoint] https://api.apitore.com/api/43

Calculate word similarity.
[Endpoint] https://api.apitore.com/api/47

Return synonym words.
[Endpoint] https://api.apitore.com/api/41

Return translation words.
[Endpoint] https://api.apitore.com/api/45