Create Text.txt.txt

.gitignore

@@ -12,7 +12,7 @@ conf/**/*credentials*
 # ignore everything in the following folders
 data/**
 logs/**
-
+anonymized/**
 # except their sub-folders
 !data/**/
 !logs/**/

Text.txt.txt

@@ -0,0 +1,10 @@
+My first text
+<<<<<<< HEAD
+Second Text
+=======
+Before submission
+30 minutes before submission
+>>>>>>> 8ab44a9c7bb8cdbc61971c3fa6ef7584546bbe2d
+First day training
+no one
+go

Untitled.ipynb

@@ -0,0 +1,92 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1d795814-731b-4f8b-a4ec-82668183d083",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#Loading necessary packages\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import gensim\n",
+    "from gensim.models import CoherenceModel\n",
+    "from gensim import corpora\n",
+    "import pandas as pd\n",
+    "from pprint import pprint\n",
+    "import string\n",
+    "import os\n",
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2f935b8-9bf5-4715-9fcd-1c5907ea8848",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#data loader class\n",
+    "class DataLoader:\n",
+    "  def __init__(self,dir_name,file_name):\n",
+    "    self.dir_name=dir_name\n",
+    "    self.file_name = file_name\n",
+    "\n",
+    "\n",
+    "  def read_csv(self):\n",
+    "    os.chdir(self.dir_name)\n",
+    "    tweets_df=pd.read_csv(self.file_name)\n",
+    "    return tweets_df\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d5d2b3c-d207-4181-9843-260120eb29ea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#object creation\n",
+    "DataLoader_obj= DataLoader('drive/MyDrive','cleaned_fintech_data.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a81c803-f209-49cc-88bc-70c57b2abd5e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tweets_df=DataLoader_obj.read_csv()\n",
+    "tweets_df.dropna()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}