There is use of hidden Markov models (HMMs) to extract the relevant fields of research papers. These extracted text segments are used to allow searched over specific fields and to provide effective presentation of search results and to match references to papers. For example, noticing the pop-up ads on any websites showing the recent items Read the full article…

In addition, a rules-based system that fails to consider negators and intensifiers is inherently naïve, as we’ve seen. Out of context, a document-level sentiment score can lead you to draw false conclusions. When something new pops up in a text document that the rules don’t account for, the system can’t assign a score. In some Read the full article…

Overall, this data helps healthcare businesses improve their delivery of care. Talking to different human agents can lead to various customer experiences. These can be in the form of conflicting information or contrasting behavior, however, this will not happen with conversational AI. The market for healthcare chatbots is expected to multiply three times by 2025. Read the full article…