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Commit 3f1886ba authored by Almouhannad Hafez's avatar Almouhannad Hafez
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(1) (2) Add expand contractions to preprocessing

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1.Data_Preprocessing.ipynb
View file @ 3f1886ba
......@@ -17,6 +17,7 @@
"from sklearn.utils import shuffle\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"import contractions\n",
"\n",
"from constants import CONSTANTS"
]
......@@ -521,13 +522,100 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### ***7- Split into Train-Test and save in .csv files***"
"### ***7- Expand contractions***\n",
"**i.e. I'm => I am**"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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>label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>i have had back pain, a cough that will not go...</td>\n",
" <td>cervical spondylosis</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>recently, i have been having problems using th...</td>\n",
" <td>dimorphic hemorrhoids</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>i have been exhausted and experiencing nausea ...</td>\n",
" <td>jaundice</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>i have had a nagging cough that will not go aw...</td>\n",
" <td>bronchial asthma</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>i have been quite exhausted and ill. my throat...</td>\n",
" <td>common cold</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" text label\n",
"0 i have had back pain, a cough that will not go... cervical spondylosis\n",
"1 recently, i have been having problems using th... dimorphic hemorrhoids\n",
"2 i have been exhausted and experiencing nausea ... jaundice\n",
"3 i have had a nagging cough that will not go aw... bronchial asthma\n",
"4 i have been quite exhausted and ill. my throat... common cold"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['text'] = df['text'].apply(contractions.fix)\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### ***8- Split into Train-Test and save in .csv files***"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
......@@ -546,7 +634,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
......
2.Basic_Morphological_Analyzer.ipynb
View file @ 3f1886ba
......@@ -33,27 +33,23 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Now, we have to download `Punkt Tokenizer Model`, try running following cell, if it didn't work successfully then try to download model manually from following links: [Manual installation](https://www.nltk.org/data.html), and [Model link](https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/tokenizers/punkt.zip).\n"
"##### Now, we have to download `Punkt Tokenizer Model`, try running following cell, if it didn't work successfully then try to download model manually from following links: [Manual installation](https://www.nltk.org/data.html), and [Model link](https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/tokenizers/punkt.zip)."
]
},
{
"cell_type": "code",
"execution_count": 2,
"cell_type": "markdown",
"metadata": {},
"outputs": [],
"source": [
"nltk.download('punkt')"
"**Uncomment if you haven't already**"
]
},
{
"cell_type": "markdown",
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"##### You must see an output similar to the following output:\n",
"> `[nltk_data] Downloading package punkt to` \n",
"> `[nltk_data] ...\\AppData\\Roaming\\nltk_data...` \n",
"> `[nltk_data] Package punkt is already up-to-date!` \n",
"> `True`"
"# nltk.download('punkt')"
]
},
{
......@@ -62,7 +58,7 @@
"metadata": {},
"outputs": [],
"source": [
"nltk.download('stopwords')"
"# nltk.download('stopwords')"
]
},
{
......@@ -71,7 +67,18 @@
"metadata": {},
"outputs": [],
"source": [
"nltk.download('punkt_tab')"
"# nltk.download('punkt_tab')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### You must see an output similar to the following output:\n",
"> `[nltk_data] Downloading package punkt to` \n",
"> `[nltk_data] ...\\AppData\\Roaming\\nltk_data...` \n",
"> `[nltk_data] Package punkt is already up-to-date!` \n",
"> `True`"
]
},
{
......@@ -705,11 +712,11 @@
"| acne | 0.9047619047619048 | 1.0 | 0.95 | 19.0 |\n",
"| allergy | 0.8947368421052632 | 0.8947368421052632 | 0.894737 | 19.0 |\n",
"| arthritis | 0.9333333333333333 | 1.0 | 0.965517 | 14.0 |\n",
"| bronchial asthma | 0.7391304347826086 | 1.0 | 0.85 | 17.0 |\n",
"| bronchial asthma | 0.8095238095238095 | 1.0 | 0.894737 | 17.0 |\n",
"| cervical spondylosis | 1.0 | 1.0 | 1 | 21.0 |\n",
"| chicken pox | 0.8823529411764706 | 0.7894736842105263 | 0.833333 | 19.0 |\n",
"| chicken pox | 0.8235294117647058 | 0.7368421052631579 | 0.777778 | 19.0 |\n",
"| common cold | 0.8 | 0.8888888888888888 | 0.842105 | 18.0 |\n",
"| dengue | 0.6086956521739131 | 0.875 | 0.717949 | 16.0 |\n",
"| dengue | 0.5833333333333334 | 0.875 | 0.7 | 16.0 |\n",
"| diabetes | 1.0 | 0.6842105263157895 | 0.8125 | 19.0 |\n",
"| dimorphic hemorrhoids | 1.0 | 1.0 | 1 | 17.0 |\n",
"| drug reaction | 0.8333333333333334 | 0.9375 | 0.882353 | 16.0 |\n",
......@@ -721,14 +728,14 @@
"| malaria | 1.0 | 1.0 | 1 | 23.0 |\n",
"| migraine | 1.0 | 0.9473684210526315 | 0.972973 | 19.0 |\n",
"| peptic ulcer disease | 1.0 | 0.7727272727272727 | 0.871795 | 22.0 |\n",
"| pneumonia | 1.0 | 0.875 | 0.933333 | 24.0 |\n",
"| pneumonia | 1.0 | 0.9166666666666666 | 0.956522 | 24.0 |\n",
"| psoriasis | 1.0 | 0.8636363636363636 | 0.926829 | 22.0 |\n",
"| typhoid | 1.0 | 0.75 | 0.857143 | 24.0 |\n",
"| typhoid | 1.0 | 0.7916666666666666 | 0.883721 | 24.0 |\n",
"| urinary tract infection | 0.8888888888888888 | 1.0 | 0.941176 | 16.0 |\n",
"| varicose veins | 1.0 | 1.0 | 1 | 17.0 |\n",
"| varicose veins | 1.0 | 0.9411764705882353 | 0.969697 | 17.0 |\n",
"| accuracy | | | 0.919913 | |\n",
"| macro avg | 0.9260885007839509 | 0.9249392499556973 | 0.919695 | |\n",
"| weighted avg | 0.9329056274770945 | 0.9199134199134199 | 0.92054 | |\n",
"| macro avg | 0.9255138143876533 | 0.9237675093296224 | 0.919308 | |\n",
"| weighted avg | 0.9321983616985828 | 0.9199134199134199 | 0.92075 | |\n",
"+---------------------------------+--------------------+--------------------+------------+-----------+\n"
]
}
......
data/Preprocessed_Symptom2Disease_Test.csv
View file @ 3f1886ba
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data/Preprocessed_Symptom2Disease_Train.csv
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