#Quickly in a sentence how to#
#Quickly in a sentence manual#

Example of how to feed data into a glossary In the example below, the user added entries for an energy related task.ДЇigure 3. You can design your application so that you can manually add entries to your glossary in the app. The model behind the classifier is the following and is described in much more detailed in our paper : This approach is a bit more demanding but is much more effective on nuanced and complex tasks. All of these steps can be done within your 2OS application.

Once you have a trained model, you can use that model to detect the sentences in new documents. As a user, you will need to annotate some documents using the 2OS Annotation Tool and train your sentence classification model. The convnet sentence classifier uses a neural network to learn from a training set what is relevant and what is not. One can also add a 2OS Lexical Field Generation module to expand the glossary with new terms. This is very useful when the user has a clear idea of what he is looking for. The algorithm then retrieves all the sentences containing at least one of the words in the glossary. The regex approach takes as input a glossary of words that are relevant to the user. TechnologyДўOS Sentence Classification uses a hybrid system that empowers the user with state of the art machine learning capabilities for difficult tasks while keeping the simplicity of a rule based model for simpler ones. It is very accessible and building an application with it is very fast. Sentence Classification pipelineДўOS Sentence Classification enables you to leverage state-of-the-art AI to automate your information extract tasks without prior knowledge of machine learning. Synergy : add 2OS Lexical Field Generation (see Text Processing module for more details) to Sentence Classification and boost even further your extraction capabilities.ДЇigure 2. Highly scalable and available, you will be able to process thousands of pages in a matter of hours. With 2OS Sentence Classification, you can build your own document processing workflows directly in your application and tailored to your needs. To overcome this, 2OS Sentence Classification reads, analyzes and extracts the relevant sentences to YOU by either feeding your application some keywords or training your own machine learning model with no code or AI prior knowledge. This is a very slow process and highly prone to error. Most companies today extract information from documents by manually reading and entering the relevant information. The Sentence Classification module is a customizable machine learning service that automatically extracts sentences from digital documents.

#Quickly in a sentence manual#

Quickly identify key sentences in documents and reduce manual effort in analyzing legal, financial or any type of document.