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Sentiment Analysis Web Application

The Sentiment Analysis Web Application is designed to analyze tweets related to two public figures. Here are its key features:

  • Sentiment Analysis:
    • The application performs sentiment analysis on the top 100 tweets associated with the specified names.
    • It categorizes tweets as positive, negative, or neutral based on their content.
  • Visualization:
    • The sentiment results are visualized using a bar chart, providing an overview of the overall sentiment distribution.
    • Users can quickly grasp the sentiment trends related to the given names.
  • Wikipedia Image Retrieval:
    • The application fetches images from Wikipedia for the specified names.
    • These images enhance the user experience and provide context.
  • Multilingual Support:
    • The application supports analyzing tweets in all languages.
    • Users can explore sentiment across diverse linguistic contexts.

WhatsApp Image 2024-07-02 at 11 01 21_651844e4

Technologies Used

Python, Flask, Selenium, Plotly, BeautifulSoup, Requests, TextBlob, HTML/CSS

How to use

Since the website is not hosted yet , you need to do it manually by hosting it locally . Clone the Github link and run python app.py on your terminal.

Handling Selenium Errors and Timeouts in Web Scraping:

“Frame Not Found” Error:

  • When encountering a “frame not found” error in Selenium, it typically occurs due to issues with interacting with iframes (inline frames) on a web page.
  • To resolve this:
    • Run your script in non-headless mode (i.e., with a visible browser window).
    • Observe which pages or elements are popping up during the login process.
    • Inspect the page source to identify iframes and ensure proper interaction with them.

Google Translate Timeout Error:

  • If you encounter a timeout error while using Google Translate API:
    • Retry the translation request after waiting for a few minutes. Sometimes, temporary server issues can cause timeouts.
    • Alternatively, consider obtaining a Google API key. This key can increase your API quota and provide more reliable access to the translation service.