Text Mining

Text mining, also known as text analytics, is the process of transforming unstructured text into structured data for easy analysis. Master works employ natural language processing (NLP) techniques to extract useful information and insights from large amounts of unstructured text data, including text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.

Capabilities

Choosing the right text mining tool: Master works considers the business values and the specific needs that the organization wants to see and meet, and accordingly selects a tool that will be able to draw business-focused value and scale to process large amounts of data.

Design and implement text mining projects and workflows: Master works designs and implements text mining projects and workflows that are tailored to the specific needs of your organization. This involves identifying the goals of the project, selecting the appropriate data sources, and choosing the right text mining techniques to extract useful information from the data.

Data quality and availability of data sources: Text mining requires large amounts of data to be effective, but the quality of the data can vary widely, and it can be difficult to find relevant data sources. Master works cooperates with your organization to improve the quality and availability of data sources.