nlp-lab/Project/simple_approach/Evaluation_sentiment_dataset.ipynb
2018-07-23 13:25:37 +02:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np \n",
"import pandas as pd \n",
"import simple_twitter_learning as stl\n",
"import re\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* download data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dataset already downloaded\n"
]
}
],
"source": [
"%%bash\n",
"\n",
"if [ ! -e 'dataset_sentiment.csv' ]\n",
"then\n",
" echo \"downloading dataset\"\n",
" wget https://raw.githubusercontent.com/SmartDataAnalytics/MA-INF-4222-NLP-Lab/master/2018_SoSe/exercises/dataset_sentiment.csv\n",
"else\n",
" echo \"dataset already downloaded\"\n",
"fi"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* plot function:"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"def sentiment_score(s):\n",
" #(pos, neg, neu)^T\n",
" return s[0] - s[1]\n",
"\n",
"def plot_sentiment_space(predicted_sentiment_vectors_list, top_sentiments, top_emojis, style=['bo']):\n",
" # sentiment score axis\n",
" top_X = np.array([sentiment_score(x) for x in top_sentiments])\n",
" \n",
"\n",
" # neutral axis:\n",
" top_Y = np.array([x[2] for x in top_sentiments])\n",
" \n",
"\n",
" fig_1, ax_1 = plt.subplots(figsize=(15,10))\n",
" plt.title(\"sentiment-score-plot\")\n",
" plt.xlabel(\"sentiment score\")\n",
" plt.ylabel(\"neutrality\")\n",
" plt.xlim([-1,1])\n",
" plt.ylim([0,1])\n",
" for i in range(len(top_X)):\n",
" plt.text(top_X[i], top_Y[i], top_emojis[i])\n",
" for i in range(len(predicted_sentiment_vectors_list)):\n",
" pred_X = np.array([sentiment_score(x) for x in predicted_sentiment_vectors_list[i]])\n",
" pred_Y = np.array([x[2] for x in predicted_sentiment_vectors_list[i]])\n",
" plt.plot(pred_X, pred_Y, style[i], alpha=0.5)\n",
" #plt.savefig(\"val-error_sentiment-plot\" + str(datetime.datetime.now()) + \".png\", bbox_inches='tight')\n",
"\n",
" # sentiment score axis\n",
" top_X = np.array([x[0] for x in top_sentiments])\n",
" \n",
"\n",
" # neutral axis:\n",
" top_Y = np.array([x[1] for x in top_sentiments])\n",
" \n",
"\n",
" fig_2, ax_2 = plt.subplots(figsize=(15,10))\n",
" plt.title(\"positive-negative-plot\")\n",
" plt.xlabel(\"positive\")\n",
" plt.ylabel(\"negative\")\n",
" plt.xlim([0,1])\n",
" plt.ylim([0,1])\n",
" for i in range(len(top_X)):\n",
" plt.text(top_X[i], top_Y[i], top_emojis[i])\n",
" for i in range(len(predicted_sentiment_vectors_list)):\n",
" pred_X = np.array([x[0] for x in predicted_sentiment_vectors_list[i]])\n",
" pred_Y = np.array([x[1] for x in predicted_sentiment_vectors_list[i]])\n",
" plt.plot(pred_X, pred_Y, style[i], alpha=0.5)\n",
" #'plt.savefig(\"val-error_positive-negative-plot\" + str(datetime.datetime.now()) + \".png\", bbox_inches='tight')\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* read data:"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('dataset_sentiment.csv')\n",
"df = df[['text','sentiment']]"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>text</th>\n",
" <th>sentiment</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>nancyleegrahn how did everyone feel about th...</td>\n",
" <td>Neutral</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>scottwalker didnt catch the full gopdebate l...</td>\n",
" <td>Positive</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>tjmshow no mention of tamir rice and the gop...</td>\n",
" <td>Neutral</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>robgeorge that carly fiorina is trending ho...</td>\n",
" <td>Positive</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>danscavino gopdebate w realdonaldtrump deliv...</td>\n",
" <td>Positive</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" text sentiment\n",
"0 nancyleegrahn how did everyone feel about th... Neutral\n",
"1 scottwalker didnt catch the full gopdebate l... Positive\n",
"2 tjmshow no mention of tamir rice and the gop... Neutral\n",
"3 robgeorge that carly fiorina is trending ho... Positive\n",
"4 danscavino gopdebate w realdonaldtrump deliv... Positive"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['text'] = df['text'].apply(lambda x: x.lower())\n",
"df['text'] = df['text'].apply(lambda x: x.replace('rt',' '))\n",
"df['text'] = df['text'].apply((lambda x: re.sub('[^a-zA-Z0-9\\s]','',x)))\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"neg = np.array([df['sentiment'][i] == 'Negative' for i in range(df.shape[0])])\n",
"pos = np.array([df['sentiment'][i] == 'Positive' for i in range(df.shape[0])])\n",
"neu = np.array([df['sentiment'][i] == 'Neutral' for i in range(df.shape[0])])\n",
"\n",
"text = np.array(df['text'].tolist())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* load pipeline"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"pipeline_file = \"/home/jonas/Dokumente/NLP_DATA/python_dumps/pipelines/tfidf_final/final_epoch01.pipeline\"\n",
"pm = stl.pipeline_manager.load_from_pipeline_file(pipeline_file)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* plot statements"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"top_20 = list(\"😳😋😀😌😏😔😒😎😢😅😁😉🙌🙏😘😊😩😍😭😂\")\n",
"top_20_sents = stl.emoji2sent(top_20)\n",
"\n",
"pred_pos = pm.predict(text[pos])\n",
"pred_neg = pm.predict(text[neg])\n",
"pred_neu = pm.predict(text[neu])"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#stl.plot_sentiment_space(predicted_sentiment_vectors=pred_pos, top_sentiments=top_20_sents, top_emojis=top_20, style='go')\n",
"#stl.plot_sentiment_space(predicted_sentiment_vectors=pred_neg, top_sentiments=top_20_sents, top_emojis=top_20, style='ro')\n",
"#stl.plot_sentiment_space(predicted_sentiment_vectors=pred_neu, top_sentiments=top_20_sents, top_emojis=top_20, style='bo')\n",
"plot_sentiment_space(predicted_sentiment_vectors_list=[pred_pos,pred_neg,pred_neu], top_sentiments=top_20_sents, top_emojis=top_20, style=['g+','b+','r+'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## user labeled sentiment dataset"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('../sentiment_sentences.csv', delimiter=';')"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"neg = np.array([df['sent'][i] == 'n' for i in range(df.shape[0])])\n",
"pos = np.array([df['sent'][i] == 'p' for i in range(df.shape[0])])\n",
"\n",
"text = np.array(df['text'].tolist())\n",
"\n",
"pred_pos = pm.predict(text[pos])\n",
"pred_neg = pm.predict(text[neg])"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_sentiment_space(predicted_sentiment_vectors_list=[pred_pos,pred_neg], top_sentiments=top_20_sents, top_emojis=top_20, style=['g+','r+'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}