mirror of
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309 lines
7.0 KiB
Plaintext
309 lines
7.0 KiB
Plaintext
{
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"outputs": [],
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"source": [
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"!bitter tweet get_all lista-tweets.csv"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"import os"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv('untitled.txt', names=['id', 'label'])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" <thead>\n",
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" <th></th>\n",
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" <th>id</th>\n",
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" <th>label</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>631659865748860929</td>\n",
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" <td>ironic</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>602202801092038656</td>\n",
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" <td>ironic</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"text/plain": [
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" id label\n",
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"0 631659865748860929 ironic\n",
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"1 602202801092038656 ironic"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"get_text(631659865748860929)"
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import os\n",
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"\n",
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"def get_text(tweetid):\n",
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" tweetfile = 'tweets/{}.json'.format(tweetid)\n",
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" if not os.path.exists(tweetfile):\n",
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" return \"\"\n",
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" return json.load(open(tweetfile))['text']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Uy que emoción! #sarcasmo #noquiero #yatienesuno :( @Cris_baoc https://t.co/Roe4H1D4d6'"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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"source": [
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"get_text(631659865748860929)"
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{
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [],
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"source": [
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"df['text'] = df['id'].apply(get_text)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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" <td>631659865748860929</td>\n",
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" <td>ironic</td>\n",
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" <td>Uy que emoción! #sarcasmo #noquiero #yatienesu...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>602202801092038656</td>\n",
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" <td>ironic</td>\n",
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"text/plain": [
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" id label \\\n",
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"0 631659865748860929 ironic \n",
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"1 602202801092038656 ironic \n",
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"\n",
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" text \n",
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"0 Uy que emoción! #sarcasmo #noquiero #yatienesu... \n",
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"1 "
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]
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},
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"execution_count": 33,
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"metadata": {},
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}
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"source": [
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"df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"data": {
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" <tr>\n",
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" <th>0</th>\n",
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" <td>631659865748860929</td>\n",
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" <td>ironic</td>\n",
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" <td>Uy que emoción! #sarcasmo #noquiero #yatienesu...</td>\n",
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"text/plain": [
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" id label \\\n",
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"0 631659865748860929 ironic \n",
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"\n",
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" text \n",
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"0 Uy que emoción! #sarcasmo #noquiero #yatienesu... "
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"source": [
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"df[df['text'] != \"\"]"
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