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Abraham Hmiel abehmiel

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abehmiel / clarify_pos.py
Created December 19, 2017 18:26
Part-of-speech clarifier from nltk
from nltk import pos_tag
from nltk.tag import str2tuple
"""
Usage:
dictionary_df['Pos'] = dictionary_df['Word'].apply(pos_maker)
dictionary_df['Help Definition'] = dictionary_df['Pos'].apply(clarify_pos)
"""
def clarify_pos(pos):
@abehmiel
abehmiel / install_packages.R
Created January 4, 2018 18:37
Install useful R packages data science
install.packages(
c(
"dplyr", # data manipulation
"tidyr", # data manipulation
"rmarkdown", # data presentation
"knitr", # data presentation
"RODBC", # database tools
"RMySQL", # database tools
"RPostgreSQL", # database tools
"RSQLite", # database tools
@abehmiel
abehmiel / resources.md
Created February 21, 2018 13:36
Some resources I've adapted to do work
@abehmiel
abehmiel / btm.py
Created March 5, 2018 22:16 — forked from amintos/btm.py
Bi-term Topic Model implementation in pure Python
"""
Bi-Term Topic Model (BTM) for very short texts.
Literature Reference:
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng:
"A biterm topic model for short texts"
In Proceedings of WWW '13, Rio de Janeiro, Brazil, pp. 1445-1456.
ACM, DOI: https://doi.org/10.1145/2488388.2488514
This module requires pre-processing of textual data,