Our natural language processing algorithms read time card narratives to provide actionable data on matter management, budgeting, pricing and firm wide profitability analysis
Natural language processing algorithms have improved greatly, so users can ask richer, more semantically complex questions instead of worrying about syntax for the computer's sake.
TipRanks uses
a natural language processing algorithm to rank analysts based on two factors: average return and success rate of their buy - sell recommendations.
Not exact matches
At the same time, two German researchers — Sepp Hochreiter, now at the University of Linz, and Jürgen Schmidhuber, codirector of a Swiss AI lab in Lugano — were independently pioneering a different type of
algorithm that today, 20 years later, has become crucial for
natural -
language processing applications.
Strategy: Trained on 70,000 10 - K reports, our A.I.
algorithm uses
natural language processing to detect semantic fields around initial keywords.
The index targets companies that are screened according to the Methodology for their involvement in, investment in, or adoption of cryptocurrency and blockchain technology using the Index Creator's
natural language processing («NLP»)
algorithm.
* According to a recent article, Jackson is an expert in «information retrieval (search), document categorization (automated indexing of content), machine learning (the design of
algorithms that enable software to learn from and make decisions based on data patterns), and
natural language processing (in which software can summarize content, convert computer
language into human
language and vice versa, or make a computer speak with human tones).»
Natural -
language processing, also called computational linguistics, involves developing computer
algorithms so that machines can understand
language.
The Lex Machina team uses machine - learning techniques to identify specific legal terms and phrases and then builds
natural -
language processing algorithms to encode the results.
From
natural -
language processing and chatbots for claims resolution to big data and
algorithms in the actuarial back office, it seems there is barely a cog in the venerable insurance machine that AI will leave untouched.