How Does Text Mining Improve Decision Making?


Text mining is an Artificial Intelligence (AI) technology that uses Natural Language Processing (NLP), Machine Learning (ML), sentiment analysis, and information extraction.

Text mining is the process of deriving high-quality information from texts. Text mining typically does this through devising patterns and trends in a document by using statistical pattern learning techniques

Text is often used to express thinking and feelings. It is how people convey ideas or reasoning from one person to another. Sentiment analysis data mining can detect these feelings. Text analytics uses ML algorithms to make predictive propositions about future actions based on what has been recorded textually.

The documents already inside an organization can provide early warning of risk and compliance issues. They can bring new insights into what their customers really need, whether it be features they want or areas in which to improve their service quality for lower prices.

Deep Learning is a set of neural networks that allow computers to learn on their own. The idea behind deep learning comes from decades-old research into how human brains work.

Big data is the enormous amount of unstructured and varied forms of data produced continually. When it comes to big data, it first transforms the vast free-form unstructured data into the machine language of numbers suitable for analysis.

Compliance, Risk, And Threat Detection

In a world where financial security is at stake, text mining can be used to detect potential compliance issues or provide early warning of fraud and criminal activities. This includes money-laundering in the finance industry which could result from insufficient risk analysis. With the help of text mining, public sector organizations can use this technology to spot potentially dangerous issues before they cause real harm.

Customer Engagement

Companies’ interactions with customers generate mountains of text. Whether it’s through email, social media, or notes in the CRM system. Text mining can produce early insights into what clients are thinking, which saves money by reducing dependence on call centers.

Text mining helps companies take proactive measures by getting early warning about issues that could damage their reputation. They can also build new revenue streams through identifying products that clients need or segments in an untapped market.

Better Business Decisions

Text mining can help by providing more accurate insights across a broader range of documents and sources. This approach is especially powerful when combined with external data sources. These are often not curated as closely internally for accuracy because they come from different areas within your company or other companies. Bringing these two types together helps improve both the speed at which decisions get made as well as their competency in those conclusions.


Text Mining is like finding gold in a stream. Text analytics is necessary to extract structure from unstructured data and use it for value creation. It is like other valuable resources such as oil or natural gas extraction processes. The Content Analytics Platform (CAP), developed by Scion Analytics, can quickly analyze textual documents across formats which restructures them into their most relevant pieces.

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