Natural Language Processing (NLP) to Generate Truly Unique Insights from Unstructured Data
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The world has seen significant changes in technology and considerable pressure from regulatory bodies in the past decade. This, coupled with a highly competitive global landscape and pressure on margins, has led companies to focus on exploring new avenues of alpha generation or product differentiation.
By end-2019, 54% of the world’s population was able to go online. Content on products and services that corporations offer accounts for millions of records every day. Capital markets closely analyse numerical datasets that may be traditional or alternative. Textual data, often unstructured, requires even closer evaluation if it is to be successfully leveraged for financial analysis. A highly competitive market offers decision makers plenty of choices to choose from. Natural language processing (NLP) can extract insights from this vast universe of textual data, if the right implementation partner/s are selected, ROI is tracked meticulously and an incremental gains-based approach is adopted.
- The world’s internet users generate over 240bn emails, 6m blogs, and 700m tweets a day – a flood of unstructured data in textual format. For decision makers in the capital markets, this presents an opportunity to generate unique investment insights
- A careful selection of reliable platforms integrated with a bespoke NLP solution would enable the acquisition and analysis of textual data for enriching coverage of the equity universe, portfolio \ monitoring, ESG investing and formulating investment strategies
- •Amid the COVID-19-induced crisis, buy-side portfolio managers and sell-side coverage analysts need to take informed decisions much faster than in an organisation’s adaptive cycle. In addition to robust quantitative analysis, implementing a contextual and scalable text-mining engine would enrich investment decision making