---- Sentiment Analysis Project ----

I built a simple Python application that uses Natural Language Processing (NLP) to figure out the "mood" of a sentence.

Basically, you type something in, and the AI tells you if it's Positive, Negative, or Neutral. It also saves everything to a file so you can check your history later.

🌟 What it does

Checks Mood: It looks at your text and tells you if it's happy, sad, or neutral.

Saves Data: Every time you analyze something, it gets saved to a file called sentiment_records.json.

Shows Stats: You can see how many positive vs. negative sentences you've entered.

Edit/Delete: You can fix mistakes or delete old entries (CRUD).

Reads Files: You can give it a text file, and it will analyze every line inside it automatically.

🛠️ Tools I Used

Language: Python (it's easy to use!)

Library: TextBlob (this does the AI magic)

Storage: JSON (to save data locally)

Type: CLI (It runs in the terminal)

💻 How to Run This

1. Download the Code

You can clone my repo to your computer using git:

git clone https://github.com/subhammohanty-sys/Simple-Sentiment-Analyzer

2. Install Requirements

You need Python installed. You also need one specific library called textblob for the AI part. Run this command:

pip install textblob

3. Start the App

Just run the main python file:

python main.py

📖 Quick Guide

Analyze a Sentence: Choose option 1 and type something like "I love coding". It should say "Positive".

View History: Option 2 shows a table of everything you've checked so far.

Batch Import: If you have a .txt file with sentences, Option 6 will read it for you.

⚠️ Note

This is just a student project for learning purposes. It's not perfect, but it works!