Felipe Bravo-Marquez (@felipebravom)
github

felipebravom

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  • Stars
    star
    139
  • Global Rank 162,945 (Top 6 %)
  • Followers 126
  • Following 18
  • Registered almost 12 years ago
  • Most used languages
    Java
         41.7 %
    TeX
         16.7 %
    Python
         16.7 %
    HTML
         8.3 %
    JavaScript
         8.3 %
    R
         8.3 %
  • Location πŸ‡¨πŸ‡± Chile
  • Country Total Rank 136
  • Country Ranking
    Java
         6
    R
         13
    TeX
         34
    Python
         93
    HTML
         408
    JavaScript
         1,454

Top repositories

1

AffectiveTweets

A WEKA package for analyzing emotion and sentiment of tweets.
Java
79
star
2

StaticTwitterSent

StaticTwitterSent
R
21
star
3

EmoInt

Scripts for WASSA-2017 Shared Task on Emotion Intensity
Python
14
star
4

SemEval_2018_Task_1_Eval

SemEval-2018 Task 1 Affect in Tweets Evaluation Script
Python
13
star
5

SentimentDriftSimulator

SentimentDriftSimulator
Java
2
star
6

TwitterSentLex

Java
2
star
7

Causal

Pointers to Causal Inference
TeX
2
star
8

felipebravom.github.io

Personal Webpage
HTML
2
star
9

RL

Reinforcement Learning Notes
TeX
1
star
10

EarthQuakeMonitor

EarthQuakeMonitor
JavaScript
1
star
11

SentimentDomain

Java
1
star
12

RankCorrelation

Provides rank correlation coefficient metrics Kendall tau and Spearman rho for evaluating regression schemes in WEKA. The implementation is taken from the Fantail project: http://fantail.quansun.com/.
Java
1
star