Name: Frequency distribution sentiment analysis in Python
Start: 2025-01-16T19:00:00-05:00
End: 2025-01-16T20:00:00-05:00

To perform frequency distribution sentiment analysis in Python:

1. **Preprocess Text**
2. **Calculate Frequency**
3. **Sentiment Analysis**
4. **Visualize**
5. **Combine**

This method helps analyze large text datasets by examining word usage and sentiment.

GILDA 

Evelyn Cates

Data,  Cloud and AI Central Florida User Group

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Evelyn Torrellas Cates is a seasoned Senior Data Analyst with extensive experience in data analysis, visualization, and storytelling, currently working at The Walt Disney Company. Her expertise spans SQL, R, Python, Tableau, Snowflake, project management, and various other analytical tools. She has a robust background in consumer insights, workforce analytics, and statistical analysis, complemented by freelance consultancy work focusing on empowering entrepreneurs with data-driven solutions. Her educational credentials include a Master of Science in Data Science from Bellevue University and a Bachelor of Science in Marketing from the University of Central Florida. Evelyn also actively mentors in programs like Disney on the Yard, Latinas in Tech and speaker for Latinas in data, highlighting her commitment to community and professional growth.

Evelyn Torrellas Cates

Frequency distribution sentiment analysis in Python

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