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Text Summarizer with Sentiment Analysis for News Articles

Overview:

This text summarizer is a tool designed not only to condense lengthy news articles into concise summaries but also to analyze the sentiment expressed within the text. By combining natural language processing techniques with sentiment analysis algorithms, the tool provides users with a comprehensive understanding of the article's content and tone. Whether you're seeking a quick overview of the news or an insight into public sentiment on a particular topic, this tool offers valuable insights.

Features:

1. Summarization: The tool extracts the most relevant sentences or phrases from the input article to create a summary, allowing users to quickly grasp the key points.

2. Sentiment Analysis: Utilizing state-of-the-art sentiment analysis algorithms, the tool evaluates the sentiment expressed within the article, providing insights into the overall tone, whether positive, negative, or neutral.

3. Accuracy: The summarization and sentiment analysis processes are optimized for accuracy, ensuring reliable insights into the article's content and tone.

4. Speed: The tool provides quick summarization and sentiment analysis, allowing users to efficiently process multiple articles within a short timeframe.

Usage Notes:

• While the summarizer and sentiment analysis strive to produce accurate and comprehensive results, they may occasionally overlook certain nuances or context present in the original article.

• Users are encouraged to review the generated summary and sentiment analysis results and make adjustments as necessary to ensure accuracy and relevance.

• This tool is intended for personal, educational, or analytical use and should not be relied upon as the sole source of information for critical decision-making.

Disclaimer:

This text summarizer with sentiment analysis is provided on an as-is basis. While efforts have been made to ensure its accuracy and reliability, we cannot guarantee its suitability for all use cases or scenarios. Users are advised to exercise discretion and critical judgment when utilizing the tool.

About Us:

This project is made by :- Ojas Gupta(2210990627), Geetansh Sood(2210990323) & Divya Bhoria(2210990293)