This Python package, developed by Chameleonlabs.org, performs sentiment analysis on a web page based on a specified keyword.

This package was developed by: Riyesh Poolanchalil (@riyeshp) Rahul Poolanchalil (@rahulp_1986)

You can install the package via pip:

To use the package, import the sentianaylib class from the package and create an instance with the required driver. Then, call the dataprocessor() method with the URL,keyword and current_directory parameters.

from selenium import webdriver
from selenium.webdriver.chrome.service import Service as ChromeService
from selenium.webdriver.chrome.options import Options as ChromeOptions
from webdriver_manager.chrome import ChromeDriverManager
from sentianaylib import sentianaylib

driver = webdriver.Chrome(service=ChromeService(ChromeDriverManager().install()), options=chrome_options)

current_directory = os.path.dirname(os.path.abspath(__file__))
# Initialize sentianalib with the appropriate driver
sentianaylib_instance = sentianaylib(driver)

# Perform sentiment analysis on a webpage
url = 'https://example.com'
keyword = 'air pollution'
sentianaylib_instance.dataprocessor(url, keyword, current_directory)

url: The URL of the webpage to analyze. keyword: The keyword to use for sentiment analysis. current_directory: The location of main file where other related files can generated.

This package relies on the following external libraries:

Beautiful Soup: For parsing HTML content. TextBlob: For sentiment analysis. Selenium: For automated web browsing.

This package is licensed under the MIT License. See the LICENSE file for details.

If you encounter any issues or have suggestions for improvement, please open an issue.