Integrating Microsoft LUIS into the Bot Framework

In our previous post, we went over what Microsoft’s LUIS, or Language Understanding, is and showed how to create a new LUIS app as well as calling it using the APIs. In this post we will use the same LUIS app that we built but integrate it into a bot we will create from Microsoft’s…

Using the Cognitive Services Text Analytics API: Sentiment Analysis

In our previous post, we feed Twitter data to the Text Analytics API which was able to detect the language of each tweet. We will expand upon our previous work and continue to use the API and our Twitter data to determine the sentiment of each tweet. By analyzing the sentiment of each tweet, we’re…

Building Language Intelligent Apps with Microsoft’s LUIS

To aid in building applications that have better natural language understanding, Microsoft came out with LUIS or Language Understanding Intelligent Services. LUIS can be used for understanding speech for the Bot Framework, Bing Speech, or even with Cortana. In this post, we’ll learn how to create a LUIS app, apply basic LUIS concepts, and how…

Pre-processing Text Data with NLTK and Azure Machine Learning

Data comes in all forms. Lately, we’ve been going over mostly numerical and categorical data. Even though the categorical data contains words, we transform it into numerical data for our algorithms. However, what if your data is only words? That’s where natural language processing comes in, and in this post, we’ll go over the basics…

Using the Cognitive Services Text Analytics API: Detecting Languages

Microsoft has a lot of fascinating APIs available to build intelligent applications with using their Cognitive Services. Among those services is the Text Analytics API. This API offers a wide range of valuable text-based functionality such as sentiment analysis and key phrase extraction. With these useful APIs available, what could be a better means of…