https://github.com/am-ankitgit/webscrapping_nlp_sentiment_analyisis

To Collect Data From Various Website To Perform Sentiment Analyisis and Various possible Variable
https://github.com/am-ankitgit/webscrapping_nlp_sentiment_analyisis

sentiment-analysis webscraping

Last synced: about 1 year ago
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To Collect Data From Various Website To Perform Sentiment Analyisis and Various possible Variable

• Host: GitHub
• URL: https://github.com/am-ankitgit/webscrapping_nlp_sentiment_analyisis
• Owner: AM-Ankitgit
• Created: 2023-02-24T02:24:52.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-04-10T14:41:29.000Z (about 3 years ago)
• Last Synced: 2025-02-15T20:52:15.905Z (over 1 year ago)
• Topics: sentiment-analysis, webscraping
• Language: Jupyter Notebook
• Homepage:
• Size: 20.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# WebScrapping_NLP_Sentiment_Analysis

## To Collect Data From Various Website To Perform Sentiment Analyisis and Calculate possible Variable

## 1)Import All Required Dependencies

## 2)Data Collection

## 3)Create Function to Perform Text Analysis

   ➢ Count Syllables Word

   ➢ Count Complex Words

   ➢ Count Words

   ➢ Average Word Length

   ➢ Fog Index

   ➢ Personal Pronouns

## 4)Data Cleaning Function

   ➢ Remove Space

   ➢ Get Expanded

   ➢ Get Handle Accented

   ➢ Remove HTML Tags

   ➢ Remove Stopword

## 5)Data Extraction and Text Analysis

   ➢ Create Empty List To append the data 

   ➢ Request the HTML page

   ➢ Extract the article title and title

   ➢ Calling function and passing and perform Data cleaning

   ➢ Save the Clean article to text file

   ➢ for text processing used TextBlob Library and perform sentiment analysis

## 6)Calculate all the Variable

## 7)Converted into the DataFrame

## 8)Convert DataFrame into excel file