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M-VADER

Analyze customer reviews, monitor social media, and identify trends in text data, for better customer experiences.
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What is M-VADER?

M-VADER is a machine learning-based sentiment analysis tool designed to help users accurately identify sentiment in text. It is a powerful tool that can be used to quickly extract sentiment from large amounts of text data, allowing users to identify trends, topics, and overall sentiment in a timely manner. The tool is easy to use and has been trained on millions of tweets to accurately identify sentiment in language. With M-VADER’s deep learning capabilities, users can quickly and accurately classify sentiment in a variety of languages. Additionally, M-VADER is equipped with an intuitive user interface and powerful visualization tools, making it easy to interpret the data and draw meaningful insights from it. By leveraging machine learning and natural language processing, M-VADER provides users with a comprehensive analysis of sentiment in text and allows them to quickly identify and act on emerging trends.

Use Cases And Features

1. Identify sentiment in customer reviews to improve customer experience.
2. Monitor social media content to gain insights on customer sentiment.
3. Analyze large amounts of text data to identify trends and topics in different languages.

Tool Website Engagement

Last Update: 1 week ago

- Disclaimer: Statistics sourced from third-party providers. Accuracy may fluctuate.

Total Monthly Visits: 19.21M
Bounce Rate: 47%
Visit Duration(avg): 259.28 seconds
Pages Per Visit: 3.16
Country Rank: 840
Global Rank: 3,477

Monthly Traffic

Traffic Sources

Traffic Share By Country

  • United States: 21.57%
  • China: 15.35%
  • Germany: 4.23%
  • India: 4.13%
  • Japan: 4.10%

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