We offer a wide variety of tools, but the core five pillars of text analytics are search, filtering, clustering, human coding, and machine-learning text classification.
Clustering is like plagiarism detection. We a tailored mathematical technique for finding duplicate and near-duplicate items in a corpus.
Machine-learning text classification is a very cool technique. We license a fine product from uClassify to perform naive Bayesian classification based on human coding (annotation or tagging) and create an active-learning loop for humans and machines.
Texifter personnel are available to train your team and manage your projects. There are some neat text analytics shortcuts that will speed up your work and improve the credibility of your results. Please email firstname.lastname@example.org for more information.