{ "cells": [ { "cell_type": "code", "execution_count": 68, "id": "698a4137", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from glob import glob\n", "from tqdm import tqdm\n", "from transformers import pipeline\n", "from datetime import datetime\n", "\n", "import re\n", "import os\n", "import twint\n", "import nest_asyncio\n", "import datetime\n", "import numpy as np\n", "\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "\n", "nest_asyncio.apply()\n", "tqdm.pandas()" ] }, { "cell_type": "markdown", "id": "98fa4b94", "metadata": {}, "source": [ "# Web Scraping de Tweets" ] }, { "cell_type": "code", "execution_count": 69, "id": "b5d17830", "metadata": {}, "outputs": [], "source": [ "capitales = pd.read_excel('datasets/CAPITALES_departamentos.xlsx')" ] }, { "cell_type": "code", "execution_count": 153, "id": "0174fc5f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 33/33 [00:42<00:00, 1.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[!] No more data! Scraping will stop now.\n", "found 0 deleted tweets in this search.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "c = twint.Config()\n", "\n", "c.Search = 'gustavo petro OR @petrogustavo OR petro'\n", "\n", "start = datetime.datetime(2022, 3, 1)\n", "end = datetime.datetime(2022, 6, 18)\n", "\n", "for capital in tqdm(capitales['Capital']): \n", " c.Limit=4000\n", " c.Since = str(start)\n", " c.Until = str(end)\n", " c.Store_csv = True # store tweets in a csv file\n", " c.Near = capital\n", " c.Language = 'es'\n", " c.Output = \"datasets/raw/gustavo_petro/{}.csv\".format(capital)\n", " c.Hide_output = True\n", "\n", " twint.run.Search(c)\n" ] }, { "cell_type": "code", "execution_count": 154, "id": "a8a0d533", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 9%|▉ | 3/33 [00:02<00:26, 1.13it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[!] No more data! Scraping will stop now.\n", "found 0 deleted tweets in this search.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 48%|████▊ | 16/33 [00:21<00:21, 1.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[!] No more data! Scraping will stop now.\n", "found 0 deleted tweets in this search.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 33/33 [00:43<00:00, 1.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[!] No more data! Scraping will stop now.\n", "found 0 deleted tweets in this search.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "c = twint.Config()\n", "\n", "c.Search = 'rodolfo hernandez OR @ingrodolfohdez OR @ligagobernantes'\n", "\n", "start = datetime.datetime(2022, 3, 1)\n", "end = datetime.datetime(2022, 6, 18)\n", "\n", "for capital in tqdm(capitales['Capital']): \n", " c.Limit=6000\n", " c.Since = str(start)\n", " c.Until = str(end)\n", " c.Store_csv = True # store tweets in a csv file\n", " c.Near = capital\n", " c.Language = 'es'\n", " c.Output = \"datasets/raw/rodolfo_hernandez/{}.csv\".format(capital)\n", " c.Hide_output = True\n", "\n", " twint.run.Search(c)" ] }, { "cell_type": "markdown", "id": "b8bfe5dc", "metadata": {}, "source": [ "Consolidación de todos los archivos generados por departamento en un solo archivo de Tweets por candidato." ] }, { "cell_type": "code", "execution_count": null, "id": "918c145d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 30/30 [00:02<00:00, 10.10it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "31\n" ] } ], "source": [ "petro_files = glob('datasets/raw/gustavo_petro/*.csv')\n", "df_petro = pd.read_csv(petro_files[0])\n", "df_petro['capital'] = petro_files[0].split('\\\\')[-1].split('.')[0]\n", "\n", "for file in tqdm(petro_files[1:]):\n", " capital = file.split('\\\\')[-1].split('.')[0]\n", " df_petro_tmp = pd.read_csv(file)\n", " df_petro_tmp['capital'] = capital\n", " df_petro = pd.concat([df_petro, df_petro_tmp])\n", "\n", "df_petro.drop_duplicates().to_csv('datasets/raw/gustavo_petro_tweets.csv')\n", "print(len([os.remove(x) for x in petro_files]))" ] }, { "cell_type": "code", "execution_count": null, "id": "b701bfc0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 28/28 [00:02<00:00, 12.99it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "29\n" ] } ], "source": [ "rodolfo_files = glob('datasets/raw/rodolfo_hernandez/*.csv')\n", "df_rodolfo = pd.read_csv(rodolfo_files[0])\n", "df_rodolfo['capital'] = rodolfo_files[0].split('\\\\')[-1].split('.')[0]\n", "\n", "for file in tqdm(rodolfo_files[1:]):\n", " capital = file.split('\\\\')[-1].split('.')[0]\n", " df_rodolfo_tmp = pd.read_csv(file)\n", " df_rodolfo_tmp['capital'] = capital\n", " df_rodolfo = pd.concat([df_rodolfo, df_rodolfo_tmp])\n", "\n", "df_rodolfo.drop_duplicates().to_csv('datasets/raw/rodolfo_hernandez_tweets.csv')\n", "print(len([os.remove(x) for x in rodolfo_files]))" ] }, { "cell_type": "markdown", "id": "ed69af97", "metadata": {}, "source": [ "# Analisis de sentimientos" ] }, { "cell_type": "markdown", "id": "6a38b4cc", "metadata": {}, "source": [ "Generar la etiqueta para cada tweet con base en el sentimiento generado por el Pipeline de Hugging Face." ] }, { "cell_type": "code", "execution_count": null, "id": "d11ec638", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Downloading: 100%|██████████| 1.26k/1.26k [00:00<00:00, 213kB/s]\n", "Downloading: 100%|██████████| 704/704 [00:00<00:00, 238kB/s]\n", "Downloading: 100%|██████████| 679M/679M [10:37<00:00, 1.12MB/s] \n", "Downloading: 100%|██████████| 49.0/49.0 [00:00<00:00, 12.2kB/s]\n", "Downloading: 100%|██████████| 972k/972k [00:03<00:00, 284kB/s] \n", "Downloading: 100%|██████████| 112/112 [00:00<00:00, 37.3kB/s]\n", "C:\\Users\\DanielBaron\\AppData\\Local\\Temp\\ipykernel_28216\\1678890586.py:3: DtypeWarning: Columns (10) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df_tweets_petro = pd.read_csv('datasets/raw/gustavo_petro_tweets.csv')\n", "100%|██████████| 54961/54961 [00:00<00:00, 57790.26it/s]\n", "100%|██████████| 54961/54961 [1:56:32<00:00, 7.86it/s] \n" ] } ], "source": [ "sentiment_pipeline = pipeline(model = \"sagorsarker/codeswitch-spaeng-sentiment-analysis-lince\")\n", "\n", "df_tweets_petro = pd.read_csv('datasets/raw/gustavo_petro_tweets.csv')\n", "df_tweets_petro['candidato'] = 'petro'\n", "\n", "df_tweets_rodolfo = pd.read_csv('datasets/raw/rodolfo_hernandez_tweets.csv')\n", "df_tweets_rodolfo['candidato'] = 'rodolfo'\n", "\n", "min_values = {}\n", "for capital in capitales['Capital']:\n", " min_r = len(df_tweets_rodolfo[df_tweets_rodolfo['capital']==capital])\n", " min_p = len(df_tweets_petro[df_tweets_petro['capital']==capital])\n", " min_values[capital] = np.min([min_r, min_p])\n", "\n", "df_tweets_petro = df_tweets_petro.groupby(['capital'], as_index=False, group_keys=False).apply(lambda x: x.sample(min(4000, min_values[x['capital'].values[0]])))\n", "df_tweets = pd.concat([df_tweets_petro, df_tweets_rodolfo])\n", "\n", "def preprocess_string(text):\n", " p_text = ' '.join([x for x in text.split() if '@' not in x and '#' not in x])\n", " return p_text\n", "\n", "df_tweets = df_tweets[[x for x in df_tweets.columns if 'unnamed' not in x.lower()]]\n", "df_tweets['tweet_p'] = df_tweets['tweet'].progress_apply(lambda x: preprocess_string(x))\n", "df_tweets['label'] = df_tweets['tweet_p'].progress_apply(lambda x: sentiment_pipeline(x)[0]['label'])\n", "\n", "df_tweets = df_tweets[[x for x in df_tweets.columns if 'unnamed' not in x.lower()]]\n", "df_tweets_es = df_tweets[df_tweets['language'] == 'es']\n", "df_tweets_es = df_tweets_es.drop_duplicates()\n", "\n", "file_path = 'datasets/tweets_candidatos_procesados_codeswitch-spaeng-sentiment-analysis-lince.csv'\n", "df_tweets_es.to_csv(file_path)" ] }, { "cell_type": "markdown", "id": "9c96767b", "metadata": {}, "source": [ "# Extracción del Support rate por usuario" ] }, { "cell_type": "code", "execution_count": 80, "id": "1ea2c587", "metadata": {}, "outputs": [], "source": [ "def get_home_location(df, user):\n", " \"\"\"\n", " Función utilizada para calcular el home location de cada usuario. Si el usuario tiene tweets en mas de una ubicación, se toma los que hayan sido escritos \n", " en un horario de 8 pm a 8 am.\n", " \"\"\"\n", " df = df[df['username']==user]\n", " df_night_hour = df[df['time'].between(datetime.datetime.strptime('20:00:00',\"%H:%M:%S\").time(), datetime.datetime.strptime('08:00:00',\"%H:%M:%S\").time())]\n", "\n", " if len(df_night_hour)>1:\n", " home_location = df_night_hour['departamento'].value_counts().reset_index().head(1)['index'].values[0]\n", " else:\n", " home_location = df['departamento'].value_counts().reset_index().head(1)['index'].values[0]\n", " \n", " return home_location\n", "\n", "def decode_label_3c(label):\n", " \"\"\"\n", " Función usada para decodificar la salida del pipeline de Hugging Face. En este caso el modelo retornaba 3 etiquetas (positivo, neutro y negativo).\n", " \"\"\"\n", " if label == 'NEU':\n", " d_label = 1\n", " elif label == 'NEG':\n", " d_label = 0\n", " elif label == 'POS':\n", " d_label = 2\n", " return d_label\n", "\n", "def decode_label_2c(label):\n", " \"\"\"\n", " Función usada para decodificar la salida del pipeline de Hugging Face. En este caso el modelo retornaba 2 etiquetas (positivo y negativo).\n", " \"\"\"\n", " if label == 'LABEL_1':\n", " d_label = 1\n", " elif label == 'LABEL_0':\n", " d_label = 0\n", " return d_label\n", "\n", "def get_candidate(df, user):\n", " \"\"\"\n", " Función usada para calcular el support rate de cada usuario a cada candidato. Se hace el promedio de los tweets por candidato para cada usuario y se restan\n", " el support rate de Petro y el de Rodolfo. Si el valor de la resta es mayor a 0 indica que el usuario apoya mas a Petro que a Rodolfo. Si el valor de la resta\n", " es menor a 0 indica que el usuario apoya mas a Rodolfo que a Petro. No se encontró ningun caso en donde haya un valor igual a 0.\n", " \"\"\"\n", " df = df[df['username']==user]\n", " candidatos = {key: 0 for key in ['petro', 'rodolfo']}\n", " for candidato in df['candidato'].drop_duplicates():\n", " candidatos[candidato] = np.mean(df[df['candidato'] == candidato]['label'])\n", "\n", " if candidatos['petro']-candidatos['rodolfo']>0:\n", " return 'petro'\n", " elif candidatos['petro']-candidatos['rodolfo']<0:\n", " return 'rodolfo'" ] }, { "cell_type": "code", "execution_count": 150, "id": "44c6ff69", "metadata": {}, "outputs": [], "source": [ "file_path = 'datasets/tweets_candidatos_procesados_robertuito-sentiment-analysis.csv'\n", "\n", "df_tweets_es = pd.read_csv(file_path, index_col=[0])" ] }, { "cell_type": "markdown", "id": "78ab78e0", "metadata": {}, "source": [ "Generación de la gráfica de sentimiento por día para cada candidato. Se resaltan algunas fechas importantes en el intervalo de tiempo analizado." ] }, { "cell_type": "code", "execution_count": 151, "id": "beeedb2d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 23020/23020 [00:00<00:00, 198450.83it/s]\n", "100%|██████████| 25883/25883 [00:00<00:00, 231106.60it/s]\n" ] }, { "data": { "text/plain": [ "<matplotlib.legend.Legend at 0x1d7bf791060>" ] }, "execution_count": 151, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "<Figure size 2160x720 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tweets_petro = df_tweets_es[df_tweets_es['candidato']=='petro'][['date', 'label']]\n", "try:\n", " tweets_petro['label'] = tweets_petro['label'].progress_apply(lambda x: decode_label_3c(x))\n", "except:\n", " tweets_petro['label'] = tweets_petro['label'].progress_apply(lambda x: decode_label_2c(x))\n", "tweets_petro = tweets_petro.groupby('date').agg('mean').reset_index()\n", "tweets_petro['date'] = matplotlib.dates.date2num(pd.to_datetime(tweets_petro['date']))\n", "tweets_petro = tweets_petro.sort_values(by='date')\n", "\n", "tweets_rodolfo = df_tweets_es[df_tweets_es['candidato']=='rodolfo'][['date', 'label']]\n", "try:\n", " tweets_rodolfo['label'] = tweets_rodolfo['label'].progress_apply(lambda x: decode_label_3c(x))\n", "except:\n", " tweets_rodolfo['label'] = tweets_rodolfo['label'].progress_apply(lambda x: decode_label_2c(x))\n", "\n", "tweets_rodolfo = tweets_rodolfo.groupby('date').agg('mean').reset_index()\n", "tweets_rodolfo['date'] = matplotlib.dates.date2num(pd.to_datetime(tweets_rodolfo['date']))\n", "tweets_rodolfo = tweets_rodolfo.sort_values(by='date')\n", "\n", "fecha_debate_r = matplotlib.dates.date2num(datetime.datetime.strptime('2022-05-23', '%Y-%m-%d'))\n", "tweets_fecha_debate_r = tweets_rodolfo[tweets_rodolfo['date']==fecha_debate_r]['label'].values[0]\n", "fecha_primera_vuelta_r = matplotlib.dates.date2num(datetime.datetime.strptime('2022-05-29', '%Y-%m-%d'))\n", "tweets_fecha_primera_vuelta_r = tweets_rodolfo[tweets_rodolfo['date']==fecha_primera_vuelta_r]['label'].values[0]\n", "fecha_audios_campaña_petro_r = matplotlib.dates.date2num(datetime.datetime.strptime('2022-06-09', '%Y-%m-%d'))\n", "tweets_fecha_audios_campaña_petro_r = tweets_rodolfo[tweets_rodolfo['date']==fecha_audios_campaña_petro_r]['label'].values[0]\n", "fecha_debate_juez_r = matplotlib.dates.date2num(datetime.datetime.strptime('2022-06-15', '%Y-%m-%d'))\n", "tweets_fecha_debate_juez_r = tweets_rodolfo[tweets_rodolfo['date']==fecha_debate_juez_r]['label'].values[0]\n", "\n", "fecha_debate_p = matplotlib.dates.date2num(datetime.datetime.strptime('2022-05-23', '%Y-%m-%d'))\n", "tweets_fecha_debate_p = tweets_petro[tweets_petro['date']==fecha_debate_p]['label'].values[0]\n", "fecha_primera_vuelta_p = matplotlib.dates.date2num(datetime.datetime.strptime('2022-05-29', '%Y-%m-%d'))\n", "tweets_fecha_primera_vuelta_p = tweets_petro[tweets_petro['date']==fecha_primera_vuelta_p]['label'].values[0]\n", "fecha_audios_campaña_petro_p = matplotlib.dates.date2num(datetime.datetime.strptime('2022-06-09', '%Y-%m-%d'))\n", "tweets_fecha_audios_campaña_petro_p = tweets_petro[tweets_petro['date']==fecha_audios_campaña_petro_p]['label'].values[0]\n", "fecha_debate_juez_p = matplotlib.dates.date2num(datetime.datetime.strptime('2022-06-15', '%Y-%m-%d'))\n", "tweets_fecha_debate_juez_p = tweets_petro[tweets_petro['date']==fecha_debate_juez_p]['label'].values[0]\n", "\n", "plt.figure(figsize=(30,10))\n", "plt.plot_date(tweets_petro['date'], tweets_petro['label'], '-o')\n", "plt.plot_date(tweets_rodolfo['date'], tweets_rodolfo['label'], '-or')\n", "plt.xlabel('Fecha')\n", "plt.ylabel('Sentimientos de Twitter')\n", "plt.title('Sentimientos de Twitter por candidato a lo largo de la ventana de Tiempo')\n", "plt.grid()\n", "plt.plot(fecha_debate_r, tweets_fecha_debate_r, '*c', markersize=15)\n", "plt.plot(fecha_primera_vuelta_r, tweets_fecha_primera_vuelta_r, '*g', markersize=15)\n", "plt.plot(fecha_audios_campaña_petro_r, tweets_fecha_audios_campaña_petro_r, '*m', markersize=15)\n", "plt.plot(fecha_debate_juez_r, tweets_fecha_debate_juez_r, '*k', markersize=15)\n", "\n", "plt.plot(fecha_debate_p, tweets_fecha_debate_p, '*c', markersize=15)\n", "plt.plot(fecha_primera_vuelta_p, tweets_fecha_primera_vuelta_p, '*g', markersize=15)\n", "plt.plot(fecha_audios_campaña_petro_p, tweets_fecha_audios_campaña_petro_p, '*m', markersize=15)\n", "plt.plot(fecha_debate_juez_p, tweets_fecha_debate_juez_p, '*k', markersize=15)\n", "plt.legend(['Sentimientos de Twitter de Gustavo Petro', 'Sentimientos de Twitter de Rodolfo Hernandez', 'Debate electoral definitivo: Revista Semana', \n", " 'Primera vuelta presidencial', 'Noticia sobre audios controversiales de campaña de Petro', 'Juez ordena debate presidencial entre candidatos Petro y Hernández'])\n" ] }, { "cell_type": "markdown", "id": "86897bad", "metadata": {}, "source": [ "Generación de la gráfica de tweets por día. Como en el caso anterior, se tomaron algunas fechas importantes en el intervalo de tiempo analizado." ] }, { "cell_type": "code", "execution_count": 83, "id": "64154ce5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<matplotlib.legend.Legend at 0x1d7a272ad10>" ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "<Figure size 1440x720 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tweets_day = df_tweets_es[['date']].value_counts().reset_index()\n", "tweets_day.columns = ['date', 'cantidad']\n", "tweets_day['date'] = matplotlib.dates.date2num(pd.to_datetime(tweets_day['date']))\n", "tweets_day = tweets_day.sort_values(by='date')\n", "\n", "fecha_debate = matplotlib.dates.date2num(datetime.datetime.strptime('2022-05-23', '%Y-%m-%d'))\n", "tweets_fecha_debate = tweets_day[tweets_day['date']==fecha_debate]['cantidad'].values[0]\n", "fecha_primera_vuelta = matplotlib.dates.date2num(datetime.datetime.strptime('2022-05-29', '%Y-%m-%d'))\n", "tweets_fecha_primera_vuelta = tweets_day[tweets_day['date']==fecha_primera_vuelta]['cantidad'].values[0]\n", "fecha_audios_campaña_petro = matplotlib.dates.date2num(datetime.datetime.strptime('2022-06-09', '%Y-%m-%d'))\n", "tweets_fecha_audios_campaña_petro = tweets_day[tweets_day['date']==fecha_audios_campaña_petro]['cantidad'].values[0]\n", "fecha_debate_juez = matplotlib.dates.date2num(datetime.datetime.strptime('2022-06-15', '%Y-%m-%d'))\n", "tweets_fecha_debate_juez = tweets_day[tweets_day['date']==fecha_debate_juez]['cantidad'].values[0]\n", "\n", "plt.figure(figsize=(20,10))\n", "plt.plot_date(tweets_day['date'], tweets_day['cantidad'], '-o')\n", "plt.xlabel('Fecha')\n", "plt.ylabel('Cantidad de Tweets')\n", "plt.title('Cantidad de Tweets en la ventana de tiempo escogida')\n", "plt.grid()\n", "plt.plot(fecha_debate, tweets_fecha_debate, '*r', markersize=15)\n", "plt.plot(fecha_primera_vuelta, tweets_fecha_primera_vuelta, '*g', markersize=15)\n", "plt.plot(fecha_audios_campaña_petro, tweets_fecha_audios_campaña_petro, '*m', markersize=15)\n", "plt.plot(fecha_debate_juez, tweets_fecha_debate_juez, '*k', markersize=15)\n", "plt.legend(['Tweets por día', 'Debate electoral definitivo: Revista Semana', 'Primera vuelta presidencial', 'Noticia sobre audios controversiales de campaña de Petro',\\\n", " 'Juez ordena debate presidencial entre candidatos Petro y Hernández'])" ] }, { "cell_type": "markdown", "id": "6ed92316", "metadata": {}, "source": [ "Extracción de las features utilizadas para construir los modelos." ] }, { "cell_type": "code", "execution_count": 115, "id": "ccb0b1b0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 48865/48865 [00:00<00:00, 297951.62it/s]\n" ] } ], "source": [ "df_tweets_def = df_tweets_es[['id', 'date', 'time', 'user_id', 'username', 'tweet', 'capital', 'candidato', 'label']]\n", "df_tweets_def = df_tweets_def.merge(capitales, left_on='capital', right_on='Capital', how='left')\n", "df_tweets_def = df_tweets_def.drop('Capital', axis=1).rename({'Departamento':'departamento'}, axis=1)\n", "df_tweets_def['label'] = df_tweets_def['label'].progress_apply(lambda x: decode_label_3c(x))\n", "df_tweets_def['time'] = df_tweets_def['time'].apply(lambda x: datetime.datetime.strptime(x,\"%H:%M:%S\").time())" ] }, { "cell_type": "markdown", "id": "101a8355", "metadata": {}, "source": [ "Calculo del support rate por usuario." ] }, { "cell_type": "code", "execution_count": 116, "id": "a5bdbdad", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 7602/7602 [02:48<00:00, 44.99it/s]\n" ] } ], "source": [ "support_rate_user = []\n", "for usuario in tqdm(df_tweets_def['username'].drop_duplicates()):\n", " home_location = get_home_location(df_tweets_def, usuario)\n", " candidato = get_candidate(df_tweets_def, usuario)\n", " support_rate_user.append([usuario, home_location, candidato])\n", "\n", "df_support_rate_user = pd.DataFrame(data = support_rate_user, columns=['USUARIO', 'UBICACION', 'CANDIDATO'])" ] }, { "cell_type": "code", "execution_count": 117, "id": "0c4c6daf", "metadata": {}, "outputs": [], "source": [ "df_pib = pd.read_excel('datasets/economical_variables/PIB_departamentos.xlsx')\n", "df_tasa_desempleo = pd.read_excel('datasets/economical_variables/TASA_DESEMPLEO_departamentos.xlsx').fillna(0)\n", "df_elecciones_2022 = pd.read_excel('datasets/resultados_elecciones_2022.xlsx')" ] }, { "cell_type": "markdown", "id": "abfad587", "metadata": {}, "source": [ "Calculo del support rate por departamento y candidato." ] }, { "cell_type": "code", "execution_count": 118, "id": "683853cc", "metadata": {}, "outputs": [], "source": [ "df_elecciones_2022[['petro', 'rodolfo']] = df_elecciones_2022[['petro', 'rodolfo']]/100\n", "df_pib['tasa_aumento_pib'] = (df_pib['2021pr']-df_pib['2020p'])/df_pib['2020p']\n", "df_tasa_desempleo['tasa_aumento_desempleo'] = ((df_tasa_desempleo[2021] - df_tasa_desempleo[2020])/df_tasa_desempleo[2020]).fillna(0)\n", "df_support_rate = df_support_rate_user.groupby(by=['UBICACION', 'CANDIDATO']).agg('count').reset_index()\n", "df_variables = df_support_rate.merge(df_pib[['DEPARTAMENTOS', 'tasa_aumento_pib']], left_on='UBICACION', right_on='DEPARTAMENTOS', how='left')\n", "df_variables = df_variables.merge(df_tasa_desempleo[['DEPARTAMENTO', 'tasa_aumento_desempleo']], left_on='UBICACION', right_on='DEPARTAMENTO', how='left')\n", "df_variables = df_variables[['UBICACION', 'CANDIDATO', 'USUARIO', 'tasa_aumento_pib', 'tasa_aumento_desempleo']]" ] }, { "cell_type": "code", "execution_count": 125, "id": "1976157b", "metadata": {}, "outputs": [], "source": [ "candidato_support_rate = 'rodolfo'\n", "df_variables = df_variables.merge(df_variables[['UBICACION', 'USUARIO']].groupby(by=['UBICACION']).agg('sum').reset_index(), on='UBICACION', how='left')\n", "df_variables = df_variables[df_variables['CANDIDATO'] == candidato_support_rate]\n", "col_name_support = 'support_rate_{}'.format(candidato_support_rate)\n", "df_variables[col_name_support] = df_variables['USUARIO_x']/df_variables['USUARIO_y']\n", "df_variables = df_variables[['UBICACION', col_name_support, 'tasa_aumento_pib', 'tasa_aumento_desempleo']].drop_duplicates().fillna(0)\n", "df_variables.columns = ['ubicacion', col_name_support, 'tasa_aumento_pib', 'tasa_aumento_desempleo']" ] }, { "cell_type": "code", "execution_count": 126, "id": "566f8d5b", "metadata": {}, "outputs": [], "source": [ "df_variables_def = df_variables.merge(df_elecciones_2022[['ubicacion', candidato_support_rate]], on='ubicacion', how='left')\n", "df_variables_def = df_variables_def.rename({candidato_support_rate:col_name_support + '_real'}, axis=1)" ] }, { "cell_type": "code", "execution_count": 129, "id": "1e278a3d", "metadata": {}, "outputs": [], "source": [ "df_variables_def.to_csv('datasets/variables_procesadas_bert_BetoSentimentAnalysis.csv')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.4 ('DL')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", 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