Enclosing class:

Application
```
public static interface Application.NLP
```
The common set of applications for natural language processing (text data).

Field Summary

Fields
Modifier and Type	Field	Description
`static Application`	`ANY`	Any NLP application, including those in `Application.NLP`.
`static Application`	`FILL_MASK`	An application that masking some words in a sentence and predicting which words should replace those masks.
`static Application`	`MACHINE_TRANSLATION`	An application that translates text from one language to another.
`static Application`	`MULTIPLE_CHOICE`	An application to represent a multiple choice question.
`static Application`	`QUESTION_ANSWER`	An application that a reference document and a question about the document and returns text answering the question.
`static Application`	`SENTIMENT_ANALYSIS`	An application that classifies text into positive or negative, a specific case of `TEXT_CLASSIFICATION`.
`static Application`	`TEXT_CLASSIFICATION`	An application that classifies text data.
`static Application`	`TEXT_EMBEDDING`	An application that takes text and returns a feature vector that represents the text.
`static Application`	`TEXT_GENERATION`
`static Application`	`TOKEN_CLASSIFICATION`	A natural language understanding application that assigns a label to some tokens in a text.
`static Application`	`WORD_EMBEDDING`	An application that takes a word and returns a feature vector that represents the word.

- Field Detail
  - ANY
```
static final Application ANY
```
    Any NLP application, including those in Application.NLP.
  - FILL_MASK
```
static final Application FILL_MASK
```
    An application that masking some words in a sentence and predicting which words should replace those masks.
  - QUESTION_ANSWER
```
static final Application QUESTION_ANSWER
```
    An application that a reference document and a question about the document and returns text answering the question.
    The typical signature is Model<QAInput, String>.
  - TEXT_CLASSIFICATION
```
static final Application TEXT_CLASSIFICATION
```
    An application that classifies text data.
    The typical signature is Model<String, Classifications>.
  - SENTIMENT_ANALYSIS
```
static final Application SENTIMENT_ANALYSIS
```
    An application that classifies text into positive or negative, a specific case of TEXT_CLASSIFICATION.
  - TOKEN_CLASSIFICATION
```
static final Application TOKEN_CLASSIFICATION
```
    A natural language understanding application that assigns a label to some tokens in a text.
  - WORD_EMBEDDING
```
static final Application WORD_EMBEDDING
```
    An application that takes a word and returns a feature vector that represents the word.
    The most representative signature is Model<String, NDArray>. However, many models will only embed a fixed Vocabulary of words. These words are usually given integer indices which may make the signature Model<String, NDArray> (or NDArray). The signatures may also use singleton NDLists instead of NDArray.
  - TEXT_GENERATION
```
static final Application TEXT_GENERATION
```
  - MACHINE_TRANSLATION
```
static final Application MACHINE_TRANSLATION
```
    An application that translates text from one language to another.
    The typical signature is Model<String, String>.
  - MULTIPLE_CHOICE
```
static final Application MULTIPLE_CHOICE
```
    An application to represent a multiple choice question.
  - TEXT_EMBEDDING
```
static final Application TEXT_EMBEDDING
```
    An application that takes text and returns a feature vector that represents the text.
    The special case where the text consists of only a word is a WORD_EMBEDDING. The typical signature is Model<String, NDArray>.

Interface Application.NLP

Field Summary

Field Detail

ANY

FILL_MASK

QUESTION_ANSWER

TEXT_CLASSIFICATION

SENTIMENT_ANALYSIS

TOKEN_CLASSIFICATION

WORD_EMBEDDING

TEXT_GENERATION

MACHINE_TRANSLATION

MULTIPLE_CHOICE

TEXT_EMBEDDING