Text Analytic Functions - Teradata Vantage
Teradata® VantageCloud Lake
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata Vantage
- Published
- January 2023
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-11
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- phg1621910019905.ditamap
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- pny1626732985837.ditaval
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- phg1621910019905
- TD_Ngramsplitter
- Tokenizes (splits) an input stream and emits n multigrams, based on specified delimiter and reset parameters. Useful for sentiment analysis, topic identification, and document classification.
- TD_NaiveBayesTextClassifierPredict
- Uses the model output by TD_NaiveBayesTextClassifierTrainer function to analyze the input data and make predictions.
- TD_NaiveBayesTextClassifierTrainer
- Calculates the conditional probabilities for token-category pairs, the prior probabilities, and the missing token probabilities for all categories.
- TD_SentimentExtractor
- Uses a dictionary model to extract the sentiment (positive, negative, or neutral) of each input document or sentence.
- TD_TextParser
- Tokenizes an input stream of words and creates a row for each word in the output table.
- TD_TFIDF
- Takes any document set and outputs the Term Frequency, Inverse Document Frequency, and Term Frequency - Inverse Document Frequency scores for each term.
- TD_WordEmbeddings
- Uses training and prediction to determine the similarity between words and phrases.