gaaniruddha/FIT5196-A1

This repository contains assignments #1 that was completed as a part of "FIT5196 Data Wrangling", taught at Monash Uni in S2 2020.

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AmirMotefaker/Sentiment-Analysis-Model-using-R

build a sentiment analysis model which will allow us to categorize words based on their sentiments, that is whether they are positive, negative and also the magnitude of it.

Language: R - Size: 13.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

natnaelhhaile/Sentiment-Analysis

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stefanrer/CountBigramFreqInConlluCorpus

Count Bigram frequency in a conllu format corpus

Language: Python - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

DorinK/Deep-Learning-Gradient-based-Learning

First assignment in ׳Deep Learning for Texts and Sequences' course (using NumPy only) by Prof. Yoav Goldberg at Bar-Ilan University

Language: Python - Size: 278 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

Mdperez19/Laboratorio-de-Malware

Implementación de un laboratorio de malware utilizando herramientas conocidas de ingeniería inversa para la materia de Ciberseguridad del modulo Ciberseguridad en sistemas operativos

Language: C++ - Size: 1.56 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ksipos/polysemy-assessment

Code and data for the paper 'Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings'

Language: Shell - Size: 273 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0