The groupwork of CS7IS4 TEXT ANALYTICS. By Group 3.
Peer Reviews Collected here:
Contribution Table: https://docs.google.com/document/d/1p5oBujDSnjKxoWRFll8wwKt7zMlYQPvi6pvFZxVhvdw/edit?usp=sharing
Use twint
: https://github.com/twintproject/twint
NEED TO INSTALL BY FOLLWING THE README IN THEIR REPO
Preprocessing using tool: https://github.com/vasisouv/tweets-preprocessor
eatures
About how to calculate and illustrate the numbers.
See the chapter Co-Authors, References and Reported Experiments
in Linguistic_Traces_of_a_Scientific_Fraud-_The Case_of_Diederik_Stapel
See Cyberbullying_detection_on_twitter_using_Big_Five_and_Dark_Triad_features
The key method is to use IBM's free API. See IBM Personality Insights
Or we can find other approach using lexicons availble on the internet.
There is relationships given in the paper. Once the Big 5 is out, the Dark Triad personalities can be infered with mappings given in the paper.
check this: https://github.com/dropofwill/py-lex
use py-lex
with lexicons (also with some papers) from here: http://saifmohammad.com/WebPages/NRC-Emotion-Lexicon.htm
The paper should follow the instructions provided here (approved by professor):
https://sites.google.com/view/iwcs2019/instructions-for-authors