2021 Research Plan
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Research Tasks
- SIGCSE 2022 - Rephactor
international release
- Develop plans for a new
iteration of conjoined approach to CS and non-CS
- Prepare
NSF grant
proposal for Social Network Extraction or Sentiment Analysis (identify
target programs)
- Draft initial conf papers: Conjoined Interdisiciplinary approach (FECS
2022), Social Network Extraction (IKE 2022 or ?)
- Draft initial
CCSCE paper: The Conjoined Model for Interdisciplinary Computer Science
Education (or for TOCE,
Computer Science
Education, or
elsewhere)
- Finish social network extraction tool
- Finish initial draft of Social Network Extraction paper
- Identify grant proposal outlets for research
- Submit papers to to CSCE 2022, conjoined
interdisciplinary, social network extraction, twitter sentiment mining
- Finish initial sentiment analysis library
- Finish sentiment analysis dictionary learning approach
- Identify appropriate journal (or conf, incl. CCSCE) for Conjoined Model
article
- Develop fake paper detection tool - Fake Paper detection (parsing, POS
graphing, style graphing, reading level graphing), combine techniques to
analyze research papers to detect potential fake papers and plagiarism
probability
- Other conference outlets to explore: CAINE, SEDE
Parsing Projects
- Social Network Extraction
- Approach to extracting social networks from literature
- Social network graphing (relationship graphing)
- Comparison of literature-based social network graphs by author and
genre
- Applications of sentiment analysis to social network extraction and
graphing
- Security applications of social network mining (e.g., online news
sources)
- Sentiment Analysis
- Twitter Sentiment Analysis & Tracking (parsing, retargetable approach,
online interface for colleagues)
- Investigate Twitter archives cost
- Investigate new Twitter APIs available to mine historical
Twitter data
- Design of a retargetable sentiment analyzer
- Automatic sentiment dictionary building
- Sentiment analysis for gender/political/racial bias detection
- Document analysis
- Fake research paper detection
- Parts of Speech graphing (parsing), develop tool for graphing POS
use over course of novel
- Reading Level graphing (parsing), develop tool for graphing reading
level over content of a research paper
- How to characterize a fake paper vs. a real paper (classification,
machine learning approaches, etc.)
- Film analysis
- Cinemetrics of film (French, otherwise)
- Automatic detection of scene length, scene characterization (close
up, two shot, establishing shot, etc.)
- Classification using cinemetrics by genre, filmmaker, period,
country, etc.
Education Projects
- Experiences with conjoined approach to interdisciplinary computer
science education (CS and French collaboration)
- Conjoined Model for Interdisciplinary Computer Science Education (high
level design, review of approaches, evaluation and meta-evaluation,
comparisons, results)
Grants
- VITAL minigrant education approaches and tools development collaboration
- Sentiment analysis approaches to new realms (machine learning of
dictionaries, gender bias, racial bias, political bias, minimal human
intervention needed to build dictionaries)
- Defense uses of social network extraction
last update:
09/27/2021