playingWithHebModel.ipynb

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     "text": [
      "/usr/local/lib/python2.7/dist-packages/gensim/utils.py:1015: UserWarning: Pattern library is not installed, lemmatization won't be available.\n",
      "  warnings.warn(\"Pattern library is not installed, lemmatization won't be available.\")\n"
     ]
    }
   ],
   "source": [
    "import word2vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = word2vec.getModel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vocab(count:500293, index:5, sample_int:2743111922)\n",
      "Vocab(count:564138, index:4, sample_int:2537028906)\n",
      "Vocab(count:624739, index:3, sample_int:2375560724)\n",
      "Vocab(count:1266417, index:2, sample_int:1527590260)\n",
      "Vocab(count:1402830, index:1, sample_int:1435664570)\n"
     ]
    }
   ],
   "source": [
    "#most popular words\n",
    "\n",
    "print model.vocab[u'עם']\n",
    "print model.vocab[u'קטגוריה']\n",
    "print model.vocab[u'הוא']\n",
    "print model.vocab[u'על']\n",
    "print model.vocab[u'את']\n",
    "\n",
    "# note: קטגוריה popularity is due to the Wikipedia bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "447648"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# words in vocabulary\n",
    "\n",
    "len(model.vocab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "את\n"
     ]
    }
   ],
   "source": [
    "print model.index2word[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "עבודה\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print model.doesnt_match(u'ביבי נתניהו ליכוד עבודה'.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "טוגנים\n"
     ]
    }
   ],
   "source": [
    "print model.doesnt_match(u'לילה בוקר ערב צהריים טוגנים'.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "צלחת\n"
     ]
    }
   ],
   "source": [
    "print model.doesnt_match(u'סוס כלב אריה צלחת ציפור ליוויתן חתול '.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "אישה\n"
     ]
    }
   ],
   "source": [
    "print model.most_similar(u'גבר', topn=1)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "אשה\n"
     ]
    }
   ],
   "source": [
    "print model.most_similar(u'אישה', topn=1)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
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   "outputs": [
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       "0.76913180957635829"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " model.similarity(u'גבר', u'אישה')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
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   "outputs": [
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       "0.58290303209297922"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.similarity(u'ילד', u'אישה')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5381007190955287"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.similarity(u'יפה', u'אישה')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "נסיכת\n"
     ]
    }
   ],
   "source": [
    "print model.most_similar(positive=[u'אישה',u'מלך'], negative=[u'גבר'], topn=1)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ישראל\n"
     ]
    }
   ],
   "source": [
    "print model.most_similar(positive=[u'ירושלים',u'גרמניה'], negative=[u'ברלין'], topn=1)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "אנגליה\n"
     ]
    }
   ],
   "source": [
    "print model.most_similar(positive=[u'לונדון',u'גרמניה'], negative=[u'ברלין'], topn=1)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "נורווגיה\n"
     ]
    }
   ],
   "source": [
    "print model.most_similar(positive=[u'אוסלו',u'גרמניה'], negative=[u'ברלין'], topn=1)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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