Overview and Author Bio
Level Up: Fancy NLP with Straightforward Tools
Natural language processing has exploded in popularity during the last decade. No longer confined to academia, many companies now see NLP as a critical portion of their business intelligence, with the NLP market size expected to double again in the next two years. Traditional NLP approaches like sentiment analysis and topic modeling provide undeniably meaningful insights, but what other techniques can be leveraged to mine information from text?
This talk focuses on lesser-known NLP methods that can help unearth novel observations and make analyses more memorable. After a brief introduction to the topic, attendees will learn about various open-source Python packages they can apply to enhance their NLP workflows. Example use cases will also be discussed to further solidify how each technique may be leveraged with existing data. Attendees of this talk will discover several unconventional NLP tools such as:
- Scattertext for comparing word usage between two populations
- spaCy’s linguistic features to parse sentences by syntax
- DeepMoji for assigning emoji labels to short text