sibe/examples/word2vec.hs
2016-09-19 16:00:45 +04:30

92 lines
3.0 KiB
Haskell

{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE ScopedTypeVariables #-}
module Main where
import Sibe
import Sibe.Word2Vec
import Sibe.Utils
import Data.Default.Class
import qualified Data.Vector.Storable as V
import Data.List (sortBy)
import Data.Function (on)
import Numeric.LinearAlgebra
import System.IO
import System.Directory
import Data.List.Split
import Control.Exception (evaluate)
import Debug.Trace
import Data.Char
import System.Random
rf :: FilePath -> IO String
rf p = do
hs <- openFile p ReadMode
hSetEncoding hs latin1
content <- evaluate =<< hGetContents hs
length content `seq` hClose hs
return content
main = do
setStdGen (mkStdGen 100)
sws <- lines <$> readFile "examples/stopwords"
-- real data, takes a lot of time to train
{-ds <- do-}
{-files <- filter ((/= "xml") . take 3 . reverse) <$> listDirectory "examples/blogs-corpus/"-}
{-contents <- mapM (rf . ("examples/blogs-corpus/" ++)) files-}
{-let texts = map (unwords . splitOn "&nbsp;") contents-}
{-let tags = ["<Blog>", "</Blog>", "<date>", "</date>", "<post>", "</post>", "&nbsp;"]-}
{-return $ map cleanText $ removeWords (sws ++ tags) texts-}
let ds = ["the king loves the queen", "the queen loves the king",
"the dwarf hates the king", "the queen hates the dwarf",
"the dwarf poisons the king", "the dwarf poisons the queen"]
let session = def { learningRate = 1e-1
, batchSize = 1
, epochs = 200
, debug = True
} :: Session
w2v = def { docs = ds
, dimensions = 25
, method = SkipGram
, window = 2
} :: Word2Vec
(computed, vocvec) <- word2vec w2v session
mapM_ (\(w, v) -> do
putStr $ w ++ ": "
let similarities = map (similarity v . snd) computed
let sorted = sortBy (compare `on` similarity v . snd) computed
print . take 2 . drop 1 . reverse $ map fst sorted
) computed
return ()
cleanText :: String -> String
cleanText string =
let notag = unwords $ filter ((/= "<date>") . take 6) (words string)
ws = unwords $ filter (`notElem` ["urlLink"]) (words notag)
spacify = foldl (\acc x -> replace x ' ' acc) (trim ws) [',', '/', '-', '\n', '\r', '?', '.', '(', ')', '%', '$', '"', ';', ':', '!', '\'']
nonumber = filter (not . isNumber) spacify
lower = map toLower nonumber
in unwords . words $ lower
where
trim = f . f
where
f = reverse . dropWhile isSpace
replace needle replacement =
map (\c -> if c == needle then replacement else c)
removeWords :: [String] -> [String] -> [String]
removeWords ws documents =
map rm documents
where
rm text =
unwords $ filter (`notElem` ws) (words text)