Texifter is a leading provider of collaborative text analytics and data science software, offering a range of powerful tools for evaluating large amounts of text data. Their cloud-based software allows users to easily sort and analyze unstructured text data commonly found in market research, customer feedback platforms, surveys, social media, and more. With a focus on machine-learning and human annotation, Texifter's software enables users to collect, clean, and classify text data efficiently, making it a trusted choice for academics, legal teams, and data science professionals.
With a decade of National Science Foundation-funded research behind their methods, Texifter combines established e-discovery and information retrieval tools with innovative approaches like crowdsourcing and adjudication to streamline the text analytics process. Their advanced search and sampling techniques, along with deduplication and automated clustering, provide users with valuable insights into the data landscape. Texifter's interactive machine classifier histograms and purposive sampling capabilities further enhance the training of machine classifiers, making it a comprehensive solution for text analysis and data science needs.
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