Google NotebookLM Features

Gives user ability to parse text by parts of speech

Provides user with a summary of inputted text

Gives user ability to parse text by named entities

Outputs the sentiment (positive or negative) of a given text

Provides user with emotion (e.g. sad, happy, etc.) of text

Detects language of a given text

Gives user ability to import a variety of data sources for immediate use

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building language models

Provides users with pre-built algorithms for simpler model development

Allows user to build custom language models