Build Your Own Language Detection Microservice

Identifying languages in textIf you read our recent post on language detection, you already know how easy it is to use Algorithmia’s services to identify which language a given piece of text is written in.

Now let’s put that into action to perform a specific task: organizing documents into language-specific folders.

We’ll build our language detection microservice using Algorithmia’s language identification algorithm. Then, we’ll look through all the .txt and .docx files in a directory to see which language each one is written in.
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Introduction to Language Identification

Identifying the language of text programmatically
Quick, what languages are these two sentences written in:

“Hey bana bir sorununuz olur mu?”

What about this one?

“Halló ég er með vandamál getur þú hjálpað mér?”

Not easy, right?

Figuring out a document’s source language is an essential first step for many cross-language tools and that’s why we’ve implemented a Language Identification algorithm. Read More…

Introduction to Image Saliency Detection

An algorithm for saliency detectionWhenever we look at a photo or watch a video, we always notice certain things over others. This could be a person’s face, or a sports car, or even a symbol that is located in the corner of a video.
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Introduction to Sentiment Analysis Algorithms

Algorithmia's Guide to Sentiment Analysis Algorithms

Sentiment Analysis is the use of natural language processing, statistics, and text analysis to extract, and identify the sentiment of text into positive, negative, or neutral categories. We often see sentiment analysis used to arrive at a binary decision: somebody is either for or against something, users like or dislike something, or the product is good or bad.
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