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Explore how unimodal training enhances meme sentiment analysis, revolutionizing strategies in multimodal meme classifiers for improved performance.

Innovative Strategies in Meme Sentiment Analysis: The Impact of Unimodal Training

Discover the latest strategies and comparative insights into optimizing meme sentiment analysis through multimodal classifiers. 

Exploring Multimodal Meme Sentiment Analysis: Architectural Comparisons and Training Strategies

MapReduce is a common Big Data pattern for analyzing a data set concurrently. This tutorial will introduce you to Elixir and the principals behind Hadoop. We will be building the equivalent of Hello World in MapReduce which is a word count program. Map and Reduce are also common higher order functions in the world of functional programming. Map is a function that takes a list and an anonymous function or lambda as arguments, applies the function to each element in the list, and returns a new list with the output of the lambda on each element. Reduce is a similar function in that it takes the same arguments with one additional argument in Elixir, an accumulator, but returns an accumulated value instead of a list. Elixir is a great language to learn concurrency and MapReduce is both a useful example and shows off many of Elixir’s features.

Build a MapReduce flow in Elixir

If you want to jump straight to the action (GitHub repo), <a href="https://github.com/pedsmoreira/jewell" target="_blank">click here</a>.

Let's Add Some Sugar to Javascript with Jewell

All examples were made with Elixir 1.3, however any Elixir &gt;= 1.0 should work.

Creating a Slack slash command with Elixir and Plug

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