Solution
Have a look at Silk Data’s project that solves the problem of people dealing with huge amounts of content every day and spending hours on information research and processing.
As sometimes 3-4 hours a day is not enough to get through material and properly understand it, we present a tool with an advanced ML model in its core to ‘read’ large texts, analyze them and extract vital information. In the end, the extracted information becomes a comprehensive summary.
Get acquainted with our AI-empowered text summarizer and enhance the power of deep text analysis.
What is Text Summarization and How does It Work?
Text summarization is the process of creating short but at the same time comprehensive versions of long and complicated texts. The new versions are easy to percept and contain the most vital data from the longer texts.
To achieve that Silk Data’s solution uses advanced Machine Learning model and AI algorithms that ‘read through’ the textual content and divide it into meaningful pieces. Then the algorithms identify and extract text key points (words, clusters of numbers, phrases, sentences) and automatically mark them by importance.
As a result, a 1000+ words text can be reduced to 100 words key point summary. The user can see summarized information in the form of in-context highlight (for better correlation with other text parts and images) or get a link preview (if a browser extension is used).
Strong Sides of Our AI Text Summarizer
High Level Of Scalability
Powered by the advanced ML model our software can be applied for many business and educational tasks providing ample opportunities for processing textual data of any size and complexity.
Multilingualism
The current version can support more than 20 most widely used languages with the possibility to add unique custom dictionaries and vocabulary.
Extraction Is The Key
There are two main ways of advanced text summarization – extractive and abstractive. We focus on extractive summarization, as abstraction often tends to lose critical information in favor of creating unique and human-like summary. Our tool, on the other hand, provides a higher level of accuracy as it uses direct text parts, so you would see only the facts mentioned without excessive information added by NLP model.
Versatility
Our tool is designed to perform a vast range of operations regarding text processing, from useful insights and user-specific content extraction to fully automated summarization of long multi-page articles.
Industries the Text Summarizer Can Be Applied to
Education
Our tool abilities allow to enhance the process of efficient learning. Using text summarizer ai both students and educators can grasp main concepts of text materials, focus on core information or quickly create material-based quizzes.
Publishing and Marketing
In most cases publishers and marketers have to get through tons of content to extract the most vital information for further work. With our tool any digital publishing agency or marketing department can summarize long texts with AI and automate their processes, quickly generating brief abstracts that can be used as teasers and posts on social media or as meta descriptions for SEO optimization.
Law and Legal
Lawyers and legal departments have to deal with hundreds of complicated document pages every week, and sometimes the load is too high. Silk Data’s software aims to solve the problem. For instance, a long multi-page report can be reduced to a short summary with key points extracted for further thorough analysis.
FinTech and Banking
Market reports and client applications analysis takes considerable part of financial organizations work. Using our solution to summarize text, they can reduce the amount of effort spent on it. Extract the key points of customer loan application and credit story or get unique insights from long financial reports and make considered decisions.
Have a Look at Our Expertise
We’ve already successfully implemented minimum viable product – the AI model trained on a rich data set combining texts of various types, styles, and volumes - from news articles to fiction books. The MPV already demonstrates summarization results of 98% accuracy rate along with specific input document format and display features.
"The main goal of our solution is to spare specialists from education, marketing and finance industries from spending hours on searching through variety of textual content. Now there’s no need to read into a few thousand-word articles – using our tool you can get all the useful insights you need."
Yuri Svirid, PhD. — CEO Silk Data
Frequently Asked Questions
Our text summarization tool was developed by a team of experienced Middle+ level developers supervised by a PhD expert with decades of expertise in studying and practically applying AI solutions.
The model was trained and successfully tested on news articles and similar templates, demonstrating the summarization accuracy of 97-99%. However, specific cases, indeed, require specific approaches.
The exact price of the solution depends on numerous factors and can’t be set in advance. Project scales, number of data and its availability along with implementation specifics are key points that define the costs.
Contact us and discuss your needs to get the most accurate estimations.
Sure. One of our core principles is to provide the customer with possible support including updates, monitoring and teaching their employees how to effectively use our solutions.
