Applications of Automatic Summarization in the Enterprise
Summarization is considered to be the hot research topic in the arena of data science. Significant advances are happening in deep learning and natural language processing recently, even though the text summarization algorithm existed for years. Different research papers are getting published on the internet by various internet companies.
There is little literature available when it comes to AI-driven Summarization and real-world applications. Generalization is inflexible when it comes to Summarization. For instance, both summarizing a news article and earning a financial report is different. Specific text features like genre or document length make the summarization task a severe issue to solve. There is no one fit size for every solution, and Summarization always works closely to the use cases.
Summarization – An Overview
Before looking after Summarization applications, everyone should understand the critical approaches, namely abstractive Summarization and extractive Summarization.
Abstractive Summarization extracts the most mandatory sentence in the article. It then paraphrases on its own version, whereas Extractive summarization chooses the crucial sentences in a book or article and then arrange them in the right way. Without any modifications, the sentences from the summary are extracted.
Document summarization is of two types, namely Single document, and multi-document Summarization. The standalone document is summarized in the case of single-document Summarization. The document refers to various things based on the applications, including email, financial report, legal contract, internal PDF file, URL, and more. The task of gathering different documents through search engine and database to generate a summary. Readability and topic coverage are two essential metrics that any summarization generator tool attempts to optimize.
Top 10 applications in the enterprise
Below are some of the use cases that use automatic Summarization along with the enterprises.
- Media Monitoring
- SEO and Search Marketing
- Financial research
- Social Media Marketing
- Video Scripting
- Literature and books
- Class assignments and E-learning
- Internal document workflow
- Legal contract analysis
- Bots and question answering
1. Media Monitoring
The issue of content shock and information overload are discussed widely. In this case, an automatic summarization can be used to condense the detailed information into smaller and meaningful pieces of information.
2. SEO and Search Marketing
It’s vital to know in-depth about your competitors when you have started evaluating SEO queries. This is considered to be more critical single Google started focusing on the topical authority and algorithm update. The best type of Summarization used here is multi-document Summarization. It’s one of the practical tools to analyze different search results, skim the crucial points, and understand shared themes.
3. Financial research
Banking companies that focus on investment spend a vast amount of money gathering information to drive automated stock trading and other decision-making features. As a financial analyst, you will start looking for market news and reports every day and have a good understanding of them. Using the summarization tool here helps in maintaining financial documents like financial news and earning statements.
4. Social Media Marketing
Companies that produce long-form content like blogs, e-books, and whitepapers use the summarization tools to break them down into meaningful and small content and share them on different social media sites like Facebook, LinkedIn, Twitter, and more. It helps various companies to reuse the already present content.
5. Video Scripting
Video is considered to be the valuable marketing medium that brings results, and video-focused platforms like Vimeo, YouTube, and more are getting shared to LinkedIn and other professional networks by various people. Based on the video type, scripting varies. In this case, Summarization is used to create a script highlighting further top research from multiple sources.
6. Literature and books
Most of the projects that Google works depends on the attempt to understand novels. Considering this use case, Summarization enables consumers to quickly understand any literature or book and how it plays an efficient role in their buying process.
7. Class assignments and E-learning
Most of the teachers make use of the news and applications to prepare their lectures. The application can be used by Summarization, and this enables the teachers to update the content quickly by creating reports of the Summarization based on the subject of interest.
8. Internal document workflow
Internal knowledge is under-used in databases and stored frequently as unstructured data, mostly produced by the larger companies. They embrace tools and help in reusing the existing expertise already. In this use case, the Summarization can help the analyst understand the company quickly and assemble the reports quickly to incorporate numerous points of view.
9. Legal contract analysis
Summarization can be used in the legal contract analysis to analyze the legal documents. Summarization is the best value in riskier clauses and enables you to compare different agreements.
10. Bots and question answering
Personal assistants are everywhere at present. Most of them are limited to particular tasks. Large Summarization is considered a powerful question, and it collects the appropriate documents for specific queries and assembles the right answer in multi-documents summarization form.
What are your favorite applications of automatic Summarization in the enterprise from the above-listed ones? Let’s know in the comment section below.
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