Sentiment_Analysis.ipynb

Sentiment_Analysis.ipynb

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   "id": "d92cbccd-517f-46db-bae6-04df36f53f93",
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Collecting textblob\n",
      "  Downloading textblob-0.17.1-py2.py3-none-any.whl (636 kB)\n",
      "     -------------------------------------- 636.8/636.8 kB 6.7 MB/s eta 0:00:00\n",
      "Requirement already satisfied: nltk>=3.1 in d:\\anaconda\\lib\\site-packages (from textblob) (3.7)\n",
      "Requirement already satisfied: regex>=2021.8.3 in d:\\anaconda\\lib\\site-packages (from nltk>=3.1->textblob) (2022.7.9)\n",
      "Requirement already satisfied: joblib in d:\\anaconda\\lib\\site-packages (from nltk>=3.1->textblob) (1.1.0)\n",
      "Requirement already satisfied: click in d:\\anaconda\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.4)\n",
      "Requirement already satisfied: tqdm in d:\\anaconda\\lib\\site-packages (from nltk>=3.1->textblob) (4.64.1)\n",
      "Requirement already satisfied: colorama in d:\\anaconda\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.5)\n",
      "Installing collected packages: textblob\n",
      "Successfully installed textblob-0.17.1\n"
     ]
    }
   ],
   "source": [
    "!pip install textblob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9870b4ea-30d5-41f8-b04d-53d8fc64eac7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sentiment Analysis from a User-Selected Text File\n",
    "import tkinter as tk\n",
    "from tkinter import messagebox\n",
    "from tkinter import filedialog\n",
    "from textblob import TextBlob\n",
    "\n",
    "def analyze_sentiment():\n",
    "    file_path = filedialog.askopenfilename(title=\"Select a text file\", filetypes=((\"Text Files\", \"*.txt\"), (\"All Files\", \"*.*\")))\n",
    "    with open(file_path, \"r\") as file:\n",
    "        text = file.read()\n",
    "    text_blob = TextBlob(text)\n",
    "    sentiment = text_blob.sentiment.polarity\n",
    "    if sentiment > 0:\n",
    "        sentiment_result = \"Positive\"\n",
    "    elif sentiment < 0:\n",
    "        sentiment_result = \"Negative\"\n",
    "    else:\n",
    "        sentiment_result = \"Neutral\"\n",
    "    sentiment_score = \"{:.2f}\".format(sentiment)\n",
    "    messagebox.showinfo(\"Sentiment Result\", \"Sentiment: \" + sentiment_result + \"\\nScore: \" + sentiment_score)\n",
    "\n",
    "root = tk.Tk()\n",
    "root.geometry(\"300x200\")\n",
    "root.title(\"Sentiment Analysis\")\n",
    "\n",
    "label = tk.Label(root, text=\"Select a text file to analyze\")\n",
    "label.pack()\n",
    "\n",
    "button = tk.Button(root, text=\"Select File\", command=analyze_sentiment)\n",
    "button.pack()\n",
    "\n",
    "root.mainloop()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bab91a8d-9b58-4fdb-a141-32ae05a1fda7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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