Function reference
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as.seedwords()
- Convert a list or a dictionary to seed words
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bootstrap_lss()
- [experimental] Compute polarity scores with different hyper-parameters
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coef(<textmodel_lss>)
coefficients.textmodel_lss()
- Extract model coefficients from a fitted textmodel_lss object
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data_dictionary_ideology
- Seed words for analysis of left-right political ideology
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data_dictionary_sentiment
- Seed words for analysis of positive-negative sentiment
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data_textmodel_lss_russianprotests
- A fitted LSS model on street protest in Russia
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optimize_lss()
- [experimental] Compute variance ratios with different hyper-parameters
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predict(<textmodel_lss>)
- Prediction method for textmodel_lss
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seedwords()
- Seed words for Latent Semantic Analysis
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smooth_lss()
- Smooth predicted polarity scores by local polynomial regression
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textmodel_lss()
- Fit a Latent Semantic Scaling model
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textplot_simil()
- Plot similarity between seed words
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textplot_terms()
- Plot polarity scores of words
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textstat_context()
char_context()
- Identify context words using user-provided patterns