News Sentiment Analysis Python

News Sentiment Analysis using Natural Language Processing

In this video, we will show News Sentiment Analysis Project using Python, this project user interface developed using tkinter library. It will analysis latest news sentiment analysis. Sentiment Analysis is a desktop based application. Designed and developed using Python Programming Language. Aim of the tool is to fetch latest news from UAE and analysis their sentiments. Whether it is negative or positive or neutral news headline.

It uses two different API to fetch news from multiple website and then uses NLTK for analysis.

News Sentiment Analysis Python

News Generation with Neural Networks transforms the traditional news creation process by leveraging advanced language models. This application utilizes neural networks to generate news articles or summaries based on provided topics or keywords. The system’s natural language processing capabilities ensure coherent and contextually relevant content creation. This innovative approach has implications for automated content generation, news summarization, and personalized news feeds, enhancing the efficiency and diversity of news dissemination.

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter
  • Backend: NLTK

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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