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news_sentimental_analysis.ipynb

# Sentiment Analysis of News Articles This project performs sentiment analysis on news articles fetched from [newsapi.org](https://newsapi.org) to determine the prevailing sentiment (positive, neutral, negative) towards specific topics over time. ## Project Overview The sentiment analysis is conducted through a series of steps using natural language processing (NLP) techniques. The project is structured into four main phases: 1. **Data Acquisition**: Fetching articles using the newsapi.org API. 2. **Data Preprocessing**: Cleaning and translating articles for consistency. 3. **Sentiment Analysis**: Computing sentiment scores and categorizing articles. 4. **Data Visualization**: Visualizing the results with interactive plots. ## Setup Install the required libraries using pip: ``` !pip install requests pandas textblob matplotlib plotly langdetect googletrans nltk ``` MyBinder: [](https://mybinder.org/v2/gh/crackie-hakz/news-sentimental-analysis/HEAD) It may take 3-4 minutes for launching, please be patient!! ## Screenshots of plots   

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