M3SOulu/Measuring-LDA-Topic-Stability

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R
Created over 6 years ago
Updated over 6 years ago

M3SOulu/Measuring-LDA-Topic-Stability

M3SOulu

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Mika V. Mantyla, Maelick Claes, and Umar Farooq. 2018. Measuring LDA Topic Stability from Clusters of Replicated Runs. In ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (ESEM ’18), October 11–12, 2018, Oulu, Finland. ACM, New York, NY, USA, Article 4, 4 pages. https://doi.org/10.1145/3239235.3267435

NLoN

Natural Language or Not

TrendMining

Trends and Text mining scripts used in teaching and in research. Fetches data from Scopus, StackOverflow and Twitter. Performs Latent Dirichlet Allocation, Wordcloud, etc.

soccminer

Source Code-Comments Miner tool that mines raw source code for natural language with comprehensive contextual information and other source code attributes. It offers four different mining pipelines that can be fed to AI pipelines.

LogPMBenchmark

next_event_prediction

MozillaApacheDataset

Dataset containing over 20 years of history of development activity from Mozilla's and Apache's commit repositories and issue trackers

WinGUICrawler

StockPortfolio

A simple implementation of a stocks' portfolio to demonstrate the use of EasyMock

pentacet

A large Curated Contextual Code Comments and SATD data

SudokuChecker

FinnishSentiment

SpreadSheet

A simple implementation of a spreadsheet application

semotion2020

MarsRoverApi

API for a Mars explorer rover

StringCalculator

Test-driven development exercise

SQAT_SudokuVerifier

RSenti4SD

R code for using Senti4SD

MozillaApacheDataset-sample

Small sample of a dataset containing over 20 years of history of development activity from Mozilla's and Apache's commit repositories and issue trackers

SiaLogReplicationPackage