From 0e83c67a5b834dfa856c68a24407957b8fe445bd Mon Sep 17 00:00:00 2001 From: fnielsen Date: Mon, 10 Jul 2017 15:44:53 +0200 Subject: [PATCH] Add analysis with skipgram model --- notebooks/wordsim353.ipynb | 183 ++++++++++++++++++++++++++----------- 1 file changed, 132 insertions(+), 51 deletions(-) diff --git a/notebooks/wordsim353.ipynb b/notebooks/wordsim353.ipynb index 8e0359c..9d375e9 100644 --- a/notebooks/wordsim353.ipynb +++ b/notebooks/wordsim353.ipynb @@ -4,7 +4,9 @@ "cell_type": "code", "execution_count": 1, "metadata": { - "collapsed": true + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -12,7 +14,7 @@ "from scipy.stats import spearmanr\n", "\n", "sys.path.append('..')\n", - "from wembedder.model import Model" + "from gensim.models import Word2Vec" ] }, { @@ -23,14 +25,34 @@ }, "outputs": [], "source": [ - "wordsim = read_csv('../wembedder/data/wordsim353_wikidata.csv', index_col=0)" + "cbow_filename = join(expanduser('~'), 'wembedder_data', 'models', \n", + " 'wikidata-20170613-truthy-BETA-cbow-size=100-window=1-min_count=20',\n", + " 'wikidata-20170613-truthy-BETA-cbow-size=100-window=1-min_count=20')\n", + "skipgram_filename = join(expanduser('~'), 'wembedder_data', 'models', \n", + " 'wikidata-20170613-truthy-BETA-skipgram-size=100-window=1-min_count=20',\n", + " 'wikidata-20170613-truthy-BETA-skipgram-size=100-window=1-min_count=20')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { - "collapsed": false + "collapsed": true, + "deletable": true, + "editable": true + }, + "outputs": [], + "source": [ + "wordsim = read_csv('../wembedder/data/wordsim353_wikidata.csv', index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { @@ -114,7 +136,7 @@ "4 computer keyboard 7.62 Q68 Q1921606 computer keyboard" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -125,20 +147,25 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [], "source": [ - "model = Model.load()" + "cbow_model = Word2Vec.load(cbow_filename)\n", + "skipgram_model = Word2Vec.load(skipgram_filename)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { @@ -147,21 +174,23 @@ "278" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Number of words in vocabulary\n", - "len([q for q in set(wordsim.q1).union(wordsim.q2) if q in model])" + "len([q for q in set(wordsim.q1).union(wordsim.q2) if q in cbow_model])" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { @@ -170,49 +199,62 @@ "0.82798253952951129" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Example similarity\n", - "model.similarity('Q19939', 'Q146')" + "cbow_model.similarity('Q19939', 'Q146')" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [], "source": [ - "similarities = []\n", + "cbow_similarities = []\n", + "skipgram_similarities = []\n", "for n, (word1, word2, human, q1, q2, *rest) in wordsim.iterrows():\n", " try:\n", - " similarity = model.similarity(q1, q2)\n", + " similarity = cbow_model.similarity(q1, q2)\n", " except:\n", " similarity = nan\n", - " similarities.append(similarity)" + " cbow_similarities.append(similarity)\n", + " try:\n", + " similarity = skipgram_model.similarity(q1, q2)\n", + " except:\n", + " similarity = nan\n", + " skipgram_similarities.append(similarity) " ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { - "collapsed": true + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [], "source": [ - "wordsim['similarity'] = similarities" + "wordsim['cbow_similarity'] = cbow_similarities\n", + "wordsim['skipgram_similarity'] = skipgram_similarities" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { @@ -230,7 +272,8 @@ " q2\n", " label1\n", " label2\n", - " similarity\n", + " cbow_similarity\n", + " skipgram_similarity\n", " \n", " \n", " \n", @@ -244,6 +287,7 @@ " love\n", " sexual intercourse\n", " 0.904173\n", + " 0.899009\n", " \n", " \n", " 1\n", @@ -255,6 +299,7 @@ " tiger\n", " cat\n", " 0.827983\n", + " 0.855750\n", " \n", " \n", " 2\n", @@ -266,6 +311,7 @@ " tiger\n", " tiger\n", " 1.000000\n", + " 1.000000\n", " \n", " \n", " 3\n", @@ -277,6 +323,7 @@ " book\n", " paper\n", " 0.544965\n", + " 0.544285\n", " \n", " \n", " 4\n", @@ -288,6 +335,7 @@ " computer\n", " keyboard\n", " 0.709703\n", + " 0.771008\n", " \n", " \n", "\n", @@ -301,15 +349,15 @@ "3 book paper 7.46 Q571 Q11472 book paper \n", "4 computer keyboard 7.62 Q68 Q1921606 computer keyboard \n", "\n", - " similarity \n", - "0 0.904173 \n", - "1 0.827983 \n", - "2 1.000000 \n", - "3 0.544965 \n", - "4 0.709703 " + " cbow_similarity skipgram_similarity \n", + "0 0.904173 0.899009 \n", + "1 0.827983 0.855750 \n", + "2 1.000000 1.000000 \n", + "3 0.544965 0.544285 \n", + "4 0.709703 0.771008 " ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -320,16 +368,18 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { "data": { - "image/png": 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hItI5ent7Iy1UzLMghaL19lW778tikfL09DQzMzMsX7687vMtLyg+v+SaYAXF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\nmEVGlfHMDnItXp3Pa9NuSNLM7CV4oWu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XQJVkoBZ0W63aYiXtKwujWp7nnHuHc25vpSc4555yzm0PuX6RVJSP1NixY0f+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\nPERERCQx/z8zCCgAd3GXNwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -337,36 +387,41 @@ } ], "source": [ - "wordsim.plot('human', 'similarity', kind='scatter')\n", + "wordsim.plot('human', 'cbow_similarity', kind='scatter')\n", "show()" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [], "source": [ - "X = wordsim.dropna(how='any')[['human', 'similarity']]" + "X = wordsim.dropna(how='any')[['human', 'cbow_similarity', 'skipgram_similarity']]" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { "data": { "text/plain": [ - "array([[ 1. , 0.13435105],\n", - " [ 0.13435105, 1. ]])" + "array([[ 1. , 0.13435105, 0.10818974],\n", + " [ 0.13435105, 1. , 0.94592419],\n", + " [ 0.10818974, 0.94592419, 1. ]])" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -377,9 +432,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": { - "collapsed": false + "collapsed": false, + "deletable": true, + "editable": true }, "outputs": [ { @@ -388,13 +445,37 @@ "SpearmanrResult(correlation=0.13462514197041839, pvalue=0.062642053818111526)" ] }, - "execution_count": 13, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "spearmanr(X.human, X.cbow_similarity)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SpearmanrResult(correlation=0.098629686412093409, pvalue=0.1734979955882856)" + ] + }, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "spearmanr(X.human, X.similarity)" + "spearmanr(X.human, X.skipgram_similarity)" ] }, {