Text Analytics Software in Middle East and Africa

SAP incorporates text analytics in its SAP HANA platform. SAP HANA platform offers comprehensive functionalities and is a suite comprising of linguistic, statistical, and machine learning capabilities. SAP HANA is helping companies accelerate their business processes by incorporating text analytics into a widely accepted platform. Text analytics provides a vast number of entity types and analysis rules, which help industries analyze text in a more comprehensive and detailed manner by making use of data obtained from text sources in multiple languages. The languages supported in a company’s text analytics software include Arabic, English, Dutch, Farsi, French, German, Italian, Japanese, Korean, Portuguese, Russian, simplified Chinese, Spanish, and traditional Chinese.

SAS provides a plethora of solutions related to text analytics with their product SAS text miner. The features that distinguish the SAS text miner from its competitors are as follows: Provisions to evaluate large data sets using high-performance text mining features. A user-friendly and flexible interface which conforms to Windows accessibility standards.

OpenText has a range of products which help organizations implement text analytics to reap benefits from data, such as creating machine readable data from unstructured data, connecting individuals with relevant content, and understanding relationships in documents. The information access platform comprises text analytics which offers opportunities to extract meaning, nuance, and context from vast amounts of unstructured content to harness the true business potential. Features such as concept extraction and entity extraction create an environment for organizations where they can identify relevant text in any digital asset and link them to location, people, organizations, trademarks, and product names.