Sentiment Analysis and Topic Modeling

Collection description:
This collection, provided by EvaluATE: Evaluation Resource Center for Advanced Technological Education, features a series of videos that walk viewers through the process of using sentiment analysis and topic modeling in evaluation. Sentiment analysis is a process that uses natural language processing to determine the emotional tone of a text, while topic modeling uses machine learning to identify similar words within a text. In each video, data scientist Nolan Ackerman demonstrates a certain aspect of the sentiment analysis and topic modeling processes. Throughout the series, Ackerman walks through data preparation, model development, model validation, and data analysis and virtualization.
Collection contents:
The collection includes eight parts comprising of 18 videos that run from 1-5 minutes in length. Below is a list of the files contained within the .zip attachment. The size of each file is included in parenthesis.
Sentiment Analysis and Topic Modeling (18 files, 157 MB)
- Validation Holdout Sample (Sentiment Analysis and Topic Modeling- Validation Holdout Sample.mp4 19.4 MB)
- Data Visualization (Sentiment Analysis and Topic Modeling- Data Visualization.mp 48.92 MB)
- Training Sample (Sentiment Analysis and Topic Modeling- Training Sample.mp4 6.26 MB)
- Validation of the Model (Sentiment Analysis and Topic Modeling- Validation of the Model.mp4 10.3 MB )
- Source of Data (Sentiment Analysis and Topic Modeling_ Source of Data.mp4 17.3 MB)
- Deploy Model (Sentiment Analysis and Topic Modeling- Deploy Model.mp4 3.47 MB)
- Model development (Sentiment Analysis and Topic Modeling- Model development.mp4 7.87 MB)
- Statistical Analysis (Sentiment Analysis and Topic Modeling- Statistical Analysis.mp4 5.98 MB)
- Topic Model Development (Sentiment Analysis and Topic Modeling- Topic Model Development.mp4 12.8 MB)
- Data Consolidation (Sentiment Analysis and Topic Modeling_ Data Consolidation.mp4 6.81 MB)
- Data Development (Sentiment Analysis and Topic Modeling_ Data Development.mp4 9.14 MB)
- Data Prep Overview (Sentiment Analysis and Topic Modeling_ Data Prep Overview.mp4 5.06 MB)
- Cleanse Data (Sentiment Analysis and Topic Modeling- Cleanse Data.mp4 5.46 MB)
- Training Sample 2 (Sentiment Analysis and Topic Modeling- Training Sample 2.mp4 3.73 MB)
- Vs. Traditional Statistics (Sentiment Analysis and Topic Modeling- Vs. Traditional Statistics.mp4 9.96 MB)
- Data Harmonization (Sentiment Analysis and Topic Modeling_ Data Harmonization.mp4 8.71 MB)
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