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1 {-|
2 Module : Gargantext.Text.Ngrams
3 Description : Ngrams definition and tools
4 Copyright : (c) CNRS, 2017 - present
5 License : AGPL + CECILL v3
6 Maintainer : team@gargantext.org
7 Stability : experimental
8 Portability : POSIX
9
10 An @n-gram@ is a contiguous sequence of n items from a given sample of
11 text. In Gargantext application the items are words, n is a non negative
12 integer.
13
14 Using Latin numerical prefixes, an n-gram of size 1 is referred to as a
15 "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size
16 3 is a "trigram". English cardinal numbers are sometimes used, e.g.,
17 "four-gram", "five-gram", and so on.
18
19 Source: https://en.wikipedia.org/wiki/Ngrams
20
21 TODO
22 group Ngrams -> Tree
23 compute occ by node of Tree
24 group occs according groups
25
26 compute cooccurrences
27 compute graph
28
29 -}
30
31 {-# LANGUAGE NoImplicitPrelude #-}
32
33 module Gargantext.Text.Terms
34 where
35
36 import Data.Text (Text)
37 import Data.Traversable
38
39 import Gargantext.Prelude
40 import Gargantext.Core
41 import Gargantext.Core.Types
42 import Gargantext.Text.Terms.Multi (multiterms)
43 import Gargantext.Text.Terms.Mono (monoTerms)
44
45
46 data TermType lang = Mono lang | Multi lang | MonoMulti lang
47
48
49 --group :: [Text] -> [Text]
50 --group = undefined
51
52 -- remove Stop Words
53 -- map (filter (\t -> not . elem t)) $
54 ------------------------------------------------------------------------
55 -- | Sugar to extract terms from text (hiddeng mapM from end user).
56 --extractTerms :: Traversable t => TermType Lang -> t Text -> IO (t [Terms])
57 extractTerms :: TermType Lang -> [Text] -> IO [[Terms]]
58 extractTerms termTypeLang = mapM (terms termTypeLang)
59 ------------------------------------------------------------------------
60 -- | Terms from Text
61 -- Mono : mono terms
62 -- Multi : multi terms
63 -- MonoMulti : mono and multi
64 -- TODO : multi terms should exclude mono (intersection is not empty yet)
65 terms :: TermType Lang -> Text -> IO [Terms]
66 terms (Mono lang) txt = pure $ monoTerms lang txt
67 terms (Multi lang) txt = multiterms lang txt
68 terms (MonoMulti lang) txt = terms (Multi lang) txt
69 -- terms (WithList list) txt = pure . concat $ extractTermsWithList list txt
70 ------------------------------------------------------------------------
71