SummarizeBot Get to Know More by Reading Less with AI and Blockchain-Powered Chatbot!

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SummarizeBot

Get to Know More by Reading Less with AI and Blockchain-Powered Chatbot!...

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Description

SummarizeBot is AI and Blockchain-Powered summarization bot available on Facebook Messenger and Slack platforms. It can summarize any kind of information for you. It can summarize weblinks, documents, images, audio and more. Just share it with SummarizeBot to get your perfect summary in seconds. 
By summarizing weblinks you can completely change your web browsing by being more effective and efficient. For businesses it structure unstructured data by creating a better version of it. SummarizeBot uses the most groundbreaking technologies to provide you with the best summarization result on the market.

Features:
- Summary Generation
The better version of your information will be generated by extracting the most important parts of it.
- Keywords Extraction
Enjoy the most important keywords, that allows you to understand in seconds what the content is about.
- Key Fragments List
Get to know more by going through the top extracted key fragments.
- Vary Summary Size
Choose your perfect summary size.- Save Your ResultsDownload, save or share your summary for free.

What Makes Us Unique?
- It's FREE
- More than 100 languages supported
- AI, Blockchain and Machine Learning technologies used 
- Audio files summarization
- Image files summarization
- Various files' summarization supported
- Summarize almost any public weblink


Technology

We use the state-of-the-art machine learning algorithms for document format and encoding recognition, text extraction, language detection, sentence/word boundary disambiguation and stemming.
We implement the advanced artificial intelligence classifier which is based on deep linguistic features and used to decrease the redundant information and maximizing the summary relevancy.
We apply decentralized architecture to train and test our AI models. Using Blockchain technology helps us not only to get more training data but also to improve the trustworthiness of our algorithms.

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