Hack the News Datathon 2019

Posted vasuraj, mjk96, harjeetsingh, manpreetkaur Mentors: preslav, laura, vsenderov, drsubhabahapal, senthilLeave a commentPosted in Datathons SolutionsDatathons Solutions

Datathon – HackNews – Solution – The Blind Scientists

Introduction to NLP
Natural Language Processing (NLP) is the field of computer science that is concerned with developing algorithms for analysis of human languages. Artificial Intelligence approaches( eg. Machine Learning) have been used for solving many tasks of NLP such as parsing, POS tagging, Named Entity Recognition, word sense disambiguation, document classification, machine translation, textual entailment, question answering, summarization, etc. Natural languages are notoriously difficult to understand and model by machines mostly because of ambiguity (eg. humor, sarcasm, puns), lack of clear structure, diversity (eg. models for English are not directly applicable to Chinese). Even so, in recent years we’re witnessing rapid progress in the field of NLP, due to deep learning models, which are becoming more and more complex and able to capture subtleties of human languages.

Posted ooeyad, ledge22, mshinoy, divyasubhashjain, imran55 Mentors: preslav, laura, alberto, giovanniLeave a commentPosted in NLPNLP

Datathon – HackNews – Solution – StepUp

Team has considered following properties of data for coming up with the solution:

Repetition of text.
Length of words
Lexical analysis of words
frequency of words
trigrams and bigrams of words
Sentiments conveyed by the
Word lemmatization
The main modeling which included in 

LSTM – Long short term memory with embedding from fasttext. 

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Datathon – HackNews – Solution – DR

This work proposes the solution of HackTheNewsHackathon tasks. As the main problem binary classification for two classes “propaganda” and “non-propaganda” was chosen. This problem would be solved using open-source library DeepPavlov using ensemble of several different models, including sklearn models, shallow-and-wide convolutional model, attention bidirectional LSTM and GRU models and capsule networks.