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[lab-nlp] - Francisco Barreto #48

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138 changes: 127 additions & 11 deletions your-code/challenge-1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -66,9 +66,30 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import re \n",
"import nltk"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'ironhack s q website is'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def clean_up(s):\n",
" \"\"\"\n",
Expand All @@ -79,7 +100,14 @@
"\n",
" Returns:\n",
" A string that has been cleaned up.\n",
" \"\"\""
" \"\"\"\n",
" string= re.sub(r'http\\S+','',s)\n",
" return re.sub('[^A-Za-z]+', ' ', string).lower().strip()\n",
" \n",
"test = \"@Ironhack's-#Q website 776-is http://ironhack.com [(2018)]\"\n",
"\n",
"test_string = clean_up(test)\n",
"test_string"
]
},
{
Expand All @@ -101,7 +129,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -114,7 +142,29 @@
"\n",
" Returns:\n",
" A list of words as the result of tokenization.\n",
" \"\"\""
" \"\"\"\n",
" return nltk.word_tokenize(s)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['ironhack', 's', 'q', 'website', 'is']"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tokens = tokenize(test_string)\n",
"tokens"
]
},
{
Expand Down Expand Up @@ -145,7 +195,17 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from nltk.stem import WordNetLemmatizer\n",
"from nltk.stem import PorterStemmer"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -158,7 +218,37 @@
"\n",
" Returns:\n",
" A list of strings after being stemmed and lemmatized.\n",
" \"\"\""
" \"\"\"\n",
" ps = nltk.PorterStemmer()\n",
" lemmatizer = nltk.WordNetLemmatizer()\n",
" l2 = []\n",
" \n",
" for w in l:\n",
" s = ps.stem(w)\n",
" s = lemmatizer.lemmatize(s)\n",
" l2 += [s]\n",
" \n",
" return l2\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['ironhack', 's', 'q', 'websit', 'is']"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stem_and_lemmatize(tokens)"
]
},
{
Expand All @@ -176,10 +266,19 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 10,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"r n h c k q w e b e \n"
]
}
],
"source": [
"from nltk.corpus import stopwords\n",
"def remove_stopwords(l):\n",
" \"\"\"\n",
" Remove English stopwords from a list of strings.\n",
Expand All @@ -189,9 +288,21 @@
"\n",
" Returns:\n",
" A list of strings after stop words are removed.\n",
" \"\"\""
" \"\"\"\n",
" stop_words = stopwords.words('english')\n",
"\n",
" return ' '.join([w for w in l if w not in stop_words])\n",
"\n",
"print(remove_stopwords(test_string))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -204,7 +315,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3.9.12 ('base')",
"language": "python",
"name": "python3"
},
Expand All @@ -218,7 +329,12 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
"version": "3.9.12"
},
"vscode": {
"interpreter": {
"hash": "ad2bdc8ecc057115af97d19610ffacc2b4e99fae6737bb82f5d7fb13d2f2c186"
}
}
},
"nbformat": 4,
Expand Down
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