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Methods & Approaches in Text Analysis
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Text Analysis
Overview of text analysis tools and methods.
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Methods & Approaches in Text Analysis
Term Frequency
Collocation Analysis
Sentiment Analysis
Text Classification
Topic Modeling
Text Analysis Tools & Platforms
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Python Packages & Libraries
R Packages & Libraries
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Example Text Analysis Projects
Responsible Text Analysis: What You Should Know
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Created by Melissa Mar, 2024-2025 Fondren Fellow
For assistance, contact Sean Smith, Data Services Specialist
Overview - Methods & Approaches
Common text analysis techniques include:
Term Frequency
: Counting how often words appear to identify key terms.
Collocation Analysis
: Studying word pairs or groups that frequently occur together.
Sentiment Analysis
: Detecting the emotional tone behind the text.
Text Classification
: Categorizing texts into predefined groups based on content.
Topic Modeling
: Discovering underlying themes or topics within large text collections.
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