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Online Shopping Sentiment Analysis Project: Flipkart

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Farha Kousar edited this page Oct 29, 2023 · 1 revision

Online Shopping Sentiment Analysis Project: Flipkart

How It Works

The "Online Shopping Sentiment Analysis Project" on Flipkart aims to analyze and understand customer sentiments and feedback regarding products and services on the Flipkart e-commerce platform. The project works as follows:

  1. Data Collection: Data is collected from Flipkart, typically in the form of customer reviews and ratings.

  2. Data Preprocessing: The collected data is cleaned and processed to remove noise, perform text normalization, and handle missing values.

  3. Sentiment Analysis: Natural Language Processing (NLP) techniques are applied to analyze the sentiment of customer reviews. Sentences are classified as positive, negative, or neutral based on the sentiment they express.

  4. Visualization: The project may involve creating data visualizations such as word clouds, bar charts, or sentiment distribution plots to provide insights into customer sentiment.

  5. Analysis and Insights: The final step involves extracting valuable insights from the data. This could include identifying popular products, monitoring trends, or assessing customer satisfaction.

Libraries Used

  • Python: The primary programming language used for the project.
  • Natural Language Toolkit (NLTK): Used for text preprocessing and sentiment analysis.
  • Scikit-Learn: May be used for machine learning-based sentiment analysis.
  • Pandas: Used for data manipulation.
  • Matplotlib and Seaborn: Used for data visualization.

Required Packages

To work on this project, you will need to install Python packages, including NLTK, Scikit-Learn, Pandas, Matplotlib, and Seaborn. Here's how to install them using pip:

pip install nltk scikit-learn pandas matplotlib seaborn
Library Setup in Jupyter Notebook with Python 3.7.0
To work on this project in a Jupyter Notebook with Python 3.7.0, you should set up your Jupyter environment as follows:

Ensure you have Python 3.7.0 installed. You can check the version by running python --version in your terminal.

Install Jupyter Notebook if you haven't already by running:

bash
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pip install jupyter

Starting a Jupyter Notebook Session
To begin working on your project in a Jupyter Notebook, follow these steps:

Start a Jupyter Notebook session by running the following command in your terminal:

bash
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jupyter notebook
These libraries will provide you with the tools and functions needed to preprocess data, perform sentiment analysis, and visualize your results.

With these steps completed, you're ready to start your data analysis and sentiment analysis work within your Jupyter Notebook.
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