Difference between revisions of "Natural Language Tools & Services"

Revision as of 21:30, 21 August 2019

TensorFlow.js for training and deploying ML models in the browser and on Node.js (was called Deeplearnjs)
- Keras.js No longer active - capability now is in TensorFlow.js
NLP.js NLP Manager: a tool able to manage several languages (nodejs)
Compromise modest natural-language processing (NLP) interprets and pre-parses English and makes some reasonable decisions
Natural provides tokenizing, stemming (reducing a word to a not-necessarily morphological root), classification, phonetics, tf-idf, WordNet, string similarity, some inflections, and more. (nodejs)

Bella open tool aimed at simplifying and speeding up text data labeling. Usually, if a dataset was labeled in a CSV file or Google spreadsheets, specialists need to convert it to an appropriate format before model training. Bella’s features and simple interface make it a good substitution to spreadsheets and CSV files. A graphical user interface (GUI) and a database backend for managing labeled data are Bella’s main features.
Tagtog choose three approaches: annotate text manually, hire a team that will label data for them, or use machine learning models for automated annotation.
Dataturks provides training data preparation tools. Using its products, teams can perform such tasks as parts-of-speech tagging, named-entity recognition tagging, text classification, moderation, and summarization.

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 * [http://www.ibm.com/watson/services/text-to-speech/ Text to Speech | IBM]
 * [http://www.ibm.com/watson/services/natural-language-understanding/   Watson Natural Language Understanding | IBM]
+===== Text Labeling =====
+* [http://github.com/dennybritz/bella Bella] open tool aimed at simplifying and speeding up text data labeling. Usually, if a dataset was labeled in a CSV file or Google spreadsheets, specialists need to convert it to an appropriate format before model training. Bella’s features and simple interface make it a good substitution to spreadsheets and CSV files. A graphical user interface (GUI) and a database backend for managing labeled data are Bella’s main features.
+* [http://www.tagtog.net/ Tagtog] choose three approaches: annotate text manually, hire a team that will label data for them, or use machine learning models for automated annotation.
+* [http://dataturks.com/index.php Dataturks] provides training data preparation tools. Using its products, teams can perform such tasks as parts-of-speech tagging, named-entity recognition tagging, text classification, moderation, and summarization.
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