IBM Watson Integration
Join Lucidworks Fusion with IBM Watson to create powerful apps that understand data and learn at scale.
Enrich your search app with Watson's capabilities as data and documents are indexed and as queries are received by the application and a set of search results are returned to the end user.
Find the most relevant information for their query by using a combination of search and machine learning algorithms to detect "signals" in the data. Built on top of Apache Solr, developers load their data into the service, train a machine learning model based on known relevant results, then leverage this model to provide improved results to their end users based on their question or query.
Use machine intelligence to combine information about grammar and language structure with knowledge of the composition of an audio signal to generate accurate transcriptions. Transcription of incoming audio is continuously sent back to the client with minimal delay and corrected as more speech is heard.
Create natural language interfaces for your applications without needing a background in machine learning or statistical algorithms. The service interprets the intent behind text and returns a corresponding classification with associated confidence levels.
Analyze your content with sophisticated natural language processing techniques including entity extraction, sentiment analysis, emotion analysis, keyword extraction, microformat parsing, and more.