Sentiment Analysis Overview and State of the Art with TDM Studio Online
Sentiment Analysis or Sentiment Classification is valuable for answering lots of different research question: How does public sentiment react to different tragic events? Do tragic events always elicit the same negative emotional states? What publicly expressed emotions help politicians get elected? Have the most common emotions changed over the last 150 years? In this 1-hour workshop, we will use TDM Studio to learn about Sentiment Classification and also run two approaches to the task—One will be a baseline dictionary-based approach and the other a more recent SBERT-based model that performs at the state of the art for newspaper sentiment classification.
Related LibGuide: Text and Data Mining with TDM Studio by Sarah Young
- Date:
- Tuesday, April 4, 2023
- Time:
- 1:00pm - 2:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Campus:
- Virtual Workshop
- Categories:
- Working With Data
- Online:
- This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Virtual Workshop Information:
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