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Shashank Gupta shashankg7

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@waleking
waleking / SparkGibbsLDA.scala
Last active January 31, 2020 11:15
We implement gibbs sampling for LDA by Spark. This version performs much better than alpha version, and now can handle 3196204 words, 100 topics, 1000 sample iterations on server in 161.7 minutes. To solve the long time consuming in collect() process in alpha version, we utilize the cache() method as line 261 and line 262. We also solve a pile o…
package topic
import spark.broadcast._
import spark.SparkContext
import spark.SparkContext._
import spark.RDD
import spark.storage.StorageLevel
import scala.util.Random
import scala.math.{ sqrt, log, pow, abs, exp, min, max }
import scala.collection.mutable.HashMap
@yanofsky
yanofsky / LICENSE
Last active August 30, 2025 02:53
A script to download all of a user's tweets into a csv
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
@emaadmanzoor
emaadmanzoor / ExpandEdinburghFSDCorpus.md
Last active October 31, 2020 20:30
Expand the Edinburgh Twitter FSD corpus

Expand The Edinburgh Twitter FSD Corpus

The Python scripts attached here take care of the following tedious work, and should help one quickly get started with some real work on the corpus:

  • Respect the Twitter API rate limits and throttle API hits.
  • Don't hit the API for already expanded tweet ID's, so you can resume tweet expansion after stopping midway.
  • Parse the API response and dump it into the correct column in the sqlite3 database.
  • Gracefully handle exceptions while acquiring tweets from the API.
  • Wrap version 1.1 of the Twitter API.
  • Start from a specified tweet ID, assuming the input file is sorted in increasing order of tweet ID.
@bwhite
bwhite / rank_metrics.py
Created September 15, 2012 03:23
Ranking Metrics
"""Information Retrieval metrics
Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np