Frequently Asked Questions
Automatic text summarization is one of the forms of information management and it can help you to reduce information overloading.
Using it’s AI & Machine Learning technologies, SummarizeBot can extract the most important information from weblinks, news articles, scientific articles, books, e-mails, lectures, patents, legal documents, etc.
By summarizing weblinks you can completely change your web browsing by being more effective and efficient. Focus on what is important. Just summarize it!
With the help of natural language processing SummarizeBot structures plain text information and solves the following tasks: sentence/word boundary disambiguation, morphological segmentation, phrase chunking, word context recognition and garbage filtration.
In order to improve the efficiency and universality of existing natural language processing methods, we use a unique approach which is based on using thematic corpora (collections of texts on specific topics) as a knowledge domain and specialized knowledge base dictionaries formed on their basis. This technique helps us to create universal text analysis algorithms which are independent from the input language and domains.
We develop semi-supervised artificial intelligence classifier to detect the most important aspects and sentences of text documents.
Our custom classification model takes several text mining features into an account, including statistical sentence weights, inter-sentence similarities, uniqueness and cohesiveness of text information, thematic words representations, named entities distribution and etc.