Our posts on
Natural Language Processing and
applications of Advanced Analytics
How a conversation design platform should be
16 of May
We consider how the design of a state-of-the-art conversational design platform should be to allow for wider adoption of this technology.
Some challenges to be addressed are maximum usability, high flexibility in configuration, easy and secure deployment and scalability, without forgetting fast feedback from production into retraining to achieve better user experience as the conversations evolve.
Assigning pieces of literary text to authors
4 of March
Touching base with StanfordNLP
8 of February
We play with StanfordNLP, a Python package that solves several common tasks in Natural Language Processing in 53 human languages. We demonstrate the usage of the package in finding out parts-of-speech and lexical features in sentences and paragraphs.