November 2015

Comparing Results Delivered by Logistic Regression and a Neural Network

CY Yam November 29, 2015 Nov 29, 2015 11/29/15

Emotion Detection and Recognition from text is a recent field of research that is closely related to Sentiment Analysis. Sentiment Analysis aims to detect positive, neutral, or negative feelings from text, whereas Emotion Analysis aims to detect and recognize types of feelings through the expression of text, such as anger, disgust, fear, ...

Feature Representation for Text Analyses

CY Yam November 29, 2015 Nov 29, 2015 11/29/15

Neural Network Performance

CY Yam November 29, 2015 Nov 29, 2015 11/29/15

Emotion Detection and Recognition from Text Using Deep Learning

CY Yam November 29, 2015 Nov 29, 2015 11/29/15

Why emotion detection? Emotion Detection and Recognition from text is a recent field of research that is closely related to Sentiment Analysis. Sentiment Analysis aims to detect positive, neutral, or negative feelings from text, whereas Emotion Analysis aims to detect and recognize types of feelings through the expression of texts, such as ...

Data preparation: The Balancing Act

CY Yam November 29, 2015 Nov 29, 2015 11/29/15

Data preparation: The balancing act A typical machine learning task consists of problem specification (asking the right question), data collection, data preparation, feature representation, modelling, evaluation, and visualization. It is hardly surprising that low performance is to be expected, if data of low quality is to be provided; ...

Reading and Writing to the Windows Registry in-process from Node.js

Anthony Turner November 9, 2015 Nov 9, 2015 11/9/15

A single npm module that enables Node developers to update the Windows Registry, create file associations, and much more! As cross-platform application developers, we often need the ability to update the Windows Registry when installing our applications on Windows. Common features requested by app developers include reading and writing keys...

Working with Spatial Data in Table Storage

Beat Schwegler November 2, 2015 Nov 2, 2015 11/2/15

Several of our customers needed to correlate and aggregate large volumes of location-tagged data. While many higher level databases provide rich capabilities for spatial data (such as SQL Server or MongoDB), most large scale cloud based table storages (e.g. Microsoft Azure Table Storage) don’t provide native support for spatial queries. In ...

CSE Developer Blog

November 2015 | CSE Developer Blog

Comparing Results Delivered by Logistic Regression and a Neural Network

Feature Representation for Text Analyses

Neural Network Performance

Emotion Detection and Recognition from Text Using Deep Learning

Data preparation: The Balancing Act

Reading and Writing to the Windows Registry in-process from Node.js

Working with Spatial Data in Table Storage

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