Tag: Machine Learning
Datathon – HackNews – Solution – Leopards
This is a Leopards team’s submission for the Propaganda Detection datathon. Key findings: the best performing classifier is logistic regression, operating on Word2vec representations of the sentences plus several designed features like the proportion of sentiment-bearing words in the sentence.
Datathon – HackNews – Solution – TEXT_MINERS
Propaganda is a form of communication that is aimed at influencing the attitude of a community toward some cause or position. It often presents facts selectively to encourage a particular synthesis. The disinformation damages the reputation of respectable news outlets, organisations and very bad for business indeed. The objective of the Hackathon is to be able to detect the Propaganda and Non-propaganda news as well as to develop a model that can help with the venture. The other objectives of this work includes detecting phrases which are propagandist and also finding out the type of propaganda it is. The algorithms that we will be taking help from are Passive Aggressive, Multiple Layer Perceptron Network, Logistic Regression, AdaBoost, Decision Tree, Random Forest, KNN, SVM and Naive Bayes to detect the potentially propagandistic and non-propagandistic sentences in a news article. For the evaluation, we are calculating F1 Score to measure the class imbalance in the testing dataset. We have used the best model for detecting propagandist and non-propagandist articles, phrases and also type of propaganda.
“What’s in a Jargon?”
Everyday we come across fancy jargon like data science, machine learning , artificial intelligence, computer vision, NLP, etc. You must have wondered as why terms like data science and AI are used together in names of research institutes like the Alan Turing Institute for Data Science and Artificial Intelligence. Does these two words mean the same ? Does it not? If it is same , why not club them into a single term , if not then why not have two different names instead of using them along side one another.
10 Best Development Tools for Machine Learning
Over the years AI has developed from a theoretical concept to an acceptable technological term that is used in all fields. From […]
Monthly Challenge – Sofia Air – Solution – Lone Fighter
SofiaAirRMarkdown2
Monthly Challenge – Sofia Air – Solution – Jacob Avila
Preliminary Analisys Due to the objective focused on predicting air quality forecast for the next 24 hours per station, first step should […]
Datathon Air Sofia Solution – Team Teljapenosss
— Team Teljapenosss Team Members — Jalapeno (Nasiba Zokirova) Team Mentor: petya-par Business Understanding The levels of air pollution allegedly caused […]
Datathon Sofia Air Mentors’ Guidelines – On IOT Prediction
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]
Datathon Kaufland Mentors’ Guidelines – On Predictive Maintenance
In this article, the mentors give some preliminary guidelines, advice, and suggestions to the participants for the case. Every mentor should write […]
The Kaufland Case [Global Datathon 2018] – Guidelines by Simon Stiebellehner
The Kaufland Case poses an interesting Predictive Maintenance challenge. First, make sure that you understand what the goals and deliverables are. This […]