Text Analytic Functions - Analytics Database
Database Analytic Functions
- Deployment
- VantageCloud
- VantageCore
- Edition
- Enterprise
- IntelliFlex
- VMware
- Product
- Analytics Database
- Release Number
- 17.20
- Published
- June 2022
- ft:locale
- en-US
- ft:lastEdition
- 2025-07-09
- dita:mapPath
- gjn1627595495337.ditamap
- dita:ditavalPath
- qkf1628213546010.ditaval
- dita:id
- jmh1512506877710
- Product Category
- Teradata Vantage™
- 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_NERExtractor
- Performs Named Entity Recognition (NER) on input text according to user-defined dictionary words or regular expression (regex) patterns.
- TD_SentimentExtractor
- Uses a dictionary model to extract the sentiment (positive, negative, or neutral) of each input document or sentence.
- TD_TextMorph
- Generates morphs (standard form/Dictionary form) of the given tokens in the input dataset using lemmatization algorithm based on English Dictionary.
- 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.