Trends in sentiment analysis. The entire history from rule-based systems to transformers
AI/Machine Learning • November 2020
Trends in sentiment analysis. The entire history from rule-based systems to transformers
About
Trends in sentiment analysis. The entire history from rule-based systems to transformers
About

Sentiment analysis is one of the most known sub-domains of Natural Language Processing (NLP), especially used in the classification of feedback messages. This talk will condense over 15 years of research on different approaches in sentiment analysis, as they evolved during time. The audience will be guided through the advantages and disadvantages of each method, in order to understand how to approach the topic given their needs.

Language
English
Level
Intermediate
Length
32 minutes
Type
online conference
About the speaker
About the speaker
Iulia Pasov
Staff Data ScientistSixt
Iulia Pasov is a staff Data Scientist working for Sixt SE. With a background in software engineering and more than 10 years of experience in working with AI solutions, she focuses on building data driven services meant to optimise car rental processes. Iulia relies on her experience to empower others to reach successful data science or software engineering careers.
Details
Language
English
Level
Intermediate
Length
32 minutes
Type
online conference