Text AI resources¶

Text AI in DataRobot allows you to seamlessly incorporate text data into your model without being a Natural Language Processing (NLP) expert and without injecting extra steps in the model building process. With models and preprocessing steps designed specifically for NLP, DataRobot supports all languages from ISO 639, the set of standards for representing names for languages and language groups.

The tools available for working with text are described in the following sections.

トピック	内容…
Working with text
自動変換	Learn about DataRobot's automated feature engineering for text, built to enhance model accuracy.
Clustering based on text collections	テキストコレクション内のトピック、タイプ、タクソノミー、言語を検出するためにクラスタリングを使用します。
Aggregation and imputation in time series projects	Set handling for text features in time series projects.
Composable ML transformers	Edit model blueprints, including pre-trained transformers, to best represent text features.
モデルのインサイト
係数	テキストの前処理によって、データセット内で見つかったテキストが、DataRobotモデルで使用できる形式に変換される方法を確認できます。
テキストマイニング	Display the most relevant words and short phrases in any variables detected as text.
ワードクラウド	Display the most relevant words and short phrases found in your dataset in word cloud-format.
テキストの説明	Visualize not only the text feature that is impactful, but also which specific words within a feature are impactful.
Multilabel modeling for text categorization	Use multilabel classification for text categorization.
Example: Capturing sentiment in text (link not live yet)	See an example of uplifting a model by capturing sentiment in the text.
Text-related feature announcements
NLP Fine-Tuner blueprints	Read about NLP Fine-Tuner blueprints.
FastText for language detection	Read about FastText for language detection at data ingest.
TinyBERT featurizer	Read about using Google's Bidirectional Encoder Representations from Transformers (distilled version).

更新しました March 9, 2023

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