Goal

Knowledge is primarily available as unstructured text in E-Mails, CRM entries, papers, and wiki articles. Harness this knowledge with Natural Language processing (NLP):

1) Learn about the fundamentals of NLP and how quickly you can start your NLP analysis by setting up your first pipeline with NLPeasy.

2) Discover how NLPeasy integrates with Elasticsearch and Kibana.

3) Exploit NLPeasy for exploratory analysis of textual data and deep dive.

Details

Advances in machine learning and, in particular, NLP are opening new possibilities for doing intelligent and efficient knowledge management.

In this hands-on tutorial workshop we will present how to use our open source software NLPeasy to quickly set up Pandas-based pipelines, enhanced with ML-Methods and pre-trained models (e.g. word embeddings, sentiment analysis). For your convenience, the results can be saved in Elasticsearch, and Kibana dashboards can be automatically generated to explore the texts and results.

You will be guided from installation of the necessary tools, through setting up a simple yet powerful NLP pipeline, to ingesting texts into Elasticsearch. Then you will explore generated Kibana Dashboards for visualization and adapt these.

Finally, we will present several use cases where we used this approach successfully.

Target Audience

Data Scientists looking for a toolkit to kick start NLP analyses.