Project Application Details

ARCHIE Project title: Not entirely sure
Project PI: 3 Rannoch Road
Department: ASAP
Address: 3 Rannoch Road, , user supplied code, PA18 6DD
Relevant industrial collaborations:
Existing relevant KTP activities:
Does the PI require to run calculations? 1
Number of users involved in the project: Until I have produced audio and textual features for my overall dataset
User 1 details:

Mr Andrew Todd
andrew.todd@strath.ac.uk
University of Strathclyde
tel: 07957253654
PhD Student
DS username: xeb15154

Service level requested:
ARCHIE Project description: Not entirely sure
Potential output of the project:

Additions to the body of literature:

First ever annotated earnings call corpus (RQ1)
First use of multimodal sentiment analysis for overall earnings calls
First ever comparison of multimodal sentiment analysis vs traditional approach in finance (RQ1)
Understanding whether more state-of-the-art sentiment/ audio features are calaculated within the decision making process of investors and hence move market prices (RQ2)
Evaluation of the intersection of EMH vs BF, particularly the first paper to evaluate whether or not paralinguistic cues are included with the market efficiency information set (RQ2)
Creation of an ESG scoring system that rules out human interference. (RQ3)

Project start date: ASAP
Duration of the project: Until I have produced audio and textual features for my overall dataset
Total CPU time required (in hours): Not entirely sure
CPU hours required by typical job: 1
Approximate amount of data created per job (in GB):
Approximate amount of data created per project: Not entirely sure
Funding Agency Grant Reference No: N/A
pFact ID: N/A
RKES ID: N/A
Software required for the project: user supplied code
Software required to be installed for the project: https://github.com/readbeyond/aeneas
Experience in using software package 1: 1
Software required to be installed for the project: https://parselmouth.readthedocs.io/en/stable/installation.html
Experience in using software package 2: 1
Software required to be installed for the project: https://arxiv.org/abs/1810.04805
Experience in using software package 3: 8
Training required: Basic of using HPC
Other training required:
Experience in using HPC: 1