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GitHub / sfu-discourse-lab 12 Repositories

Discourse Processing Lab at Simon Fraser University

sfu-discourse-lab/Kickstarter

Language: Jupyter Notebook - Size: 136 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

sfu-discourse-lab/metaphor_annotations

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 1

sfu-discourse-lab/GenderGapTracker

Scrape news articles and analyze them using NLP to quantify the gender gap in Canadian mainstream media

Language: Python - Size: 9.34 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 42 - Forks: 11

sfu-discourse-lab/MDA_project

Language: Python - Size: 5.85 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

sfu-discourse-lab/MDA-podcasts

Multidimensional analyses of podcast transcripts

Language: R - Size: 18.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sfu-discourse-lab/TACT

Topic Analysis, Constructiveness and Toxicity for online articles and comments

Language: Jupyter Notebook - Size: 8.53 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 2

sfu-discourse-lab/Evaluation_quotes

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sfu-discourse-lab/fake_news_over_time

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sfu-discourse-lab/adverbly_adjectives

Code to extract stats for the adverbly adjectives project

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

sfu-discourse-lab/SOCC

SFU Opinion and Comments Corpus

Language: Python - Size: 4.65 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 90 - Forks: 21

sfu-discourse-lab/SFU_Comment_Extractor

Extract articles and comments from news sites

Language: HTML - Size: 22 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 3

sfu-discourse-lab/SO-CAL

Semantic Orientation Calculator for Sentiment Analysis

Language: Python - Size: 563 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 22

sfu-discourse-lab/MDA-OnlineComments

Supplementary materials for: Are online news comments like face-to-face conversation? A multi-dimensional analysis of an emerging register (version 1.0)

Language: R - Size: 410 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

sfu-discourse-lab/MisInfoText

Datasets for fake news and misinformation detection

Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 9

sfu-discourse-lab/Misinformation_detection

Project on detecting misinformation and fake news

Language: Python - Size: 8.72 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 1

sfu-discourse-lab/MDA-OnlineRegisters

Scripts to do an MDA analysis of different registers

Language: R - Size: 13.2 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1

sfu-discourse-lab/Sentiment_Analysis_Dictionaries

Sets of dictionaries for sentiment analysis, used in SO-CAL. English and Spanish.

Size: 73.2 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

sfu-discourse-lab/MDA-tagging

Language: Python - Size: 58.6 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

sfu-discourse-lab/WebAnno

WebAnno server installation

Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

sfu-discourse-lab/Constructiveness_public

Constructiveness of news comments

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2

sfu-discourse-lab/Constructiveness_Toxicity_Corpus

Annotations of 1,000+ news comments, for constructiveness and toxicity

Size: 950 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

sfu-discourse-lab/SL-Seg

Syntactic and lexical segmenter for discourse. Takes a text and segments it into units for discourse parsing.

Size: 222 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

sfu-discourse-lab/Comment_analysis

Scripts for describing comment data and getting statistics

Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1