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Text Classification with LSTM

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Before we further discuss the Long Short-Term Memory Model, we will first discuss the term of Deep learning where the main idea is on the Neural Network. So Neural Network is one branch of machine learning where the learning process imitates the way neurons in the human brain works. In Neural Network we know several terms, such as the input layer, hidden layer, and output layer. So the different betweetn Deep Learning and Neural Network architecture is the number of hidden layers specified.…

Poisson Regression and Negative Binomial Regression

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Regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or ‘predictors’).

Introduction to tidymodels

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The following presentation is produced by the team at Algoritma for its internal training This presentation is intended for a restricted audience only. It may not be reproduced, distributed, translated or adapted in any form outside these individuals and organizations without permission.

Self-Organizing Maps

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Self-Organizing Maps first introduce by Teuvo Kohonen. According to the Wiki, Self-Organizing Map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map, and is therefore a method to do dimensionality reduction.1 SOM isan unsupervised data visualization technique that can be used…

Age-Period-Cohort (APC) Analysis

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The following coursebook is produced by the team at Algoritma for its Data Science Academy internal training. The coursebook is intended for a restricted audience only, i.e. the individuals and organizations having received this coursebook directly from the training organization. It may not be reproduced, distributed, translated or adapted in any form outside these individuals and organizations without permission.

Twitter Interactions Analysis using Twinetverse

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The goal of the twinetverse is to provide everything one might need to view Twitter interactions, from data collection to visualisation. This could be a powerful tool for social media analysis, since it could help visualizing how users communicate with one another on a given topic or how information spreads throughout the Twitter network.

Text Preprocessing using textclean

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Function used for take tweet from twitter is search_tweets(). There are several parameter usually used in that function:
– Topic : topic you will find at twitter
– n : how many tweet that you want to take
– include_rts : logical. If FALSE tweet taken didn’t contain retweet
– lang : spesified language. If you want take tweet in english you can add
argument lang = “en”
You can use this code below to try taking tweets from twitter by removing the command

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