Anwitaman Datta

Research topics:

My research interests span the topics of large-scale resilient distributed systems, information security and applications of data analytics.

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11 to 20 of 52 Results

run.py May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models Python Source Code - 12.9 KB - MD5: 42615d85a0c47cbe646862a387af1fbd CPSC run file
run_similar_problems.py May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models Python Source Code - 16.8 KB - MD5: a96bbdaedd2ba810cc5d2a7b00bc7bf7 Code file for preliminary tests
UniXcoder_notebook.ipynb May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models Jupyter Notebook - 9.1 KB - MD5: a6310d6fcc3c8ed39371cfbe7e795f44 Results for UniXcoder model (0.905)
Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic May 11, 2022 Sharma, Shakshi; Sharma, Rajesh; Datta, Anwitaman, 2022, "Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic", https://doi.org/10.21979/N9/QMLIJQ, DR-NTU (Data), V1 Two files are provided. Each contain Tweet ID, Label pairs. Label 1 indicates misleading tweets, while label 0 is used otherwise. One file contains 1500 manually annotated entries, while the other contains 114,635 where the labels are predicted algorithmically (see accompanying p...
Misleading_COVID19_manual_labels.txt May 11, 2022 - Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic Plain Text - 34.0 KB - MD5: ecaa79c72b780eb980a8445bceeb6c66
PredictedLabelsMisleading_COVID19_vaccine_tweets.txt May 11, 2022 - Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic Plain Text - 2.7 MB - MD5: c5930bce2ae21102e4c7843fae94b89c
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study Jul 27, 2021 - Final Year Projects Tan, Meng Jie Zachary, 2021, "The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study", https://doi.org/10.21979/N9/0LGZYN, DR-NTU (Data), V1 The dataset complements the following study: This study looks at the content on Reddit’s COVID-19 community, r/Coronavirus, to capture and understand the main themes and discussions around the global pandemic, and their evolution, over the first year. It is based on 356,690 submi...
comments_crawler.ipynb Jul 27, 2021 - The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study Jupyter Notebook - 5.3 KB - MD5: 90a460a48256ad819b76dbb3f13295f8 Python notebook for crawling Reddit comments using Pushshift API
comments_exploration.ipynb Jul 27, 2021 - The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study Jupyter Notebook - 17.7 MB - MD5: 3b574943513e96b9cf5764af147d1bd1 Python notebook for comment data exploration
comments_preprocess.ipynb Jul 27, 2021 - The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study Jupyter Notebook - 40.0 KB - MD5: cbc80436d273ecb5e6b1fb3dd50af621 Python notebook for comment data preparation

run.py

May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models

Python Source Code - 12.9 KB -

CPSC run file

run_similar_problems.py

May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models

Python Source Code - 16.8 KB -

Code file for preliminary tests

UniXcoder_notebook.ipynb

May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models

Jupyter Notebook - 9.1 KB -

Results for UniXcoder model (0.905)

Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic

May 11, 2022

Sharma, Shakshi; Sharma, Rajesh; Datta, Anwitaman, 2022, "Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic", https://doi.org/10.21979/N9/QMLIJQ, DR-NTU (Data), V1

Two files are provided. Each contain Tweet ID, Label pairs. Label 1 indicates misleading tweets, while label 0 is used otherwise. One file contains 1500 manually annotated entries, while the other contains 114,635 where the labels are predicted algorithmically (see accompanying p...

Misleading_COVID19_manual_labels.txt

May 11, 2022 - Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic

Plain Text - 34.0 KB -

PredictedLabelsMisleading_COVID19_vaccine_tweets.txt

May 11, 2022 - Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic

Plain Text - 2.7 MB -

The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study

Jul 27, 2021 - Final Year Projects

Tan, Meng Jie Zachary, 2021, "The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study", https://doi.org/10.21979/N9/0LGZYN, DR-NTU (Data), V1

The dataset complements the following study: This study looks at the content on Reddit’s COVID-19 community, r/Coronavirus, to capture and understand the main themes and discussions around the global pandemic, and their evolution, over the first year. It is based on 356,690 submi...

comments_crawler.ipynb

Jul 27, 2021 - The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study

Jupyter Notebook - 5.3 KB -

Python notebook for crawling Reddit comments using Pushshift API

comments_exploration.ipynb

Jul 27, 2021 - The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study

Jupyter Notebook - 17.7 MB -

Python notebook for comment data exploration

comments_preprocess.ipynb

Jul 27, 2021 - The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study

Jupyter Notebook - 40.0 KB -

Python notebook for comment data preparation

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