Best Text Analytics Software for C

Find out what companies such as Cisco, Reveal Data and Absolute Software already know about Catalyst, Catalyst, and others! Document Filters is the perfect toolkit to allow file inspection and processing functionality within applications for ediscovery, data protection prevention, text analytics and content management. It also allows you to search, archive, and search for files. Are your end users lost in file formats and document volume? We explain how Document Filters Drives Efficiency & Customer Value and how it can make a huge impact on all users. Document Filters allows software developers to integrate industry-leading file identification functionality in their solutions. File inspection and identification are essential first steps if your application relies upon processing files it didn't create. Document Filters uses intelligent file identification to inspect source content without relying only on the filename extension.

NLP software libraries and text analytics for on-premise integration or deployment. Integrate Salience in your enterprise business intelligence architecture, or white label it within your data analytics product. Salience can process 200 tweets per seconds while scaling from one process core to entire data centers with small memory footprint. For higher levels of ease, you can use Java, Python, C#, or the native C/C++ interface. You have full access to the technology. You can tune every text analytics function and NLP feature. This includes tokenization and part-of-speech tagging, sentiment scoring, categorization and theme analysis. Based on a pipeline model that includes NLP rules and machine-learning models. Identify where issues are occurring in the pipeline. You can adjust specific features without affecting the entire system. Salience runs entirely on your servers, but you can also offload sensitive data to the cloud servers.