A #github repo containing code to extract information from the #ACL#Anthology dataset (https://t.co/qIvMt3cIXO) using a keyword-based filter. Created this for a #bibliometric study. Open to contributions. #aclanthology#NLProc
https://t.co/RQqlOc0TOX
Have you ever wondered if the skills from your current career could take you somewhere completely different?
My own journey wasn't linear, but it showed me how powerful transferable skills can be: https://t.co/NgJJF5hlM8
Are there opportunities for working professionals to engage in data science or machine learning projects, internships or volunteering roles—ideally in initiatives focused on social good? #DataScience#MachineLearning#SocialGood#TechForGood#nlproc
🧵#phdchat#phd#tips I enrolled for the PhD programme at a university in 2016, presented my research proposal in 2017, and completed my doctoral degree in 2024. Here are a few tips that helped me in my journey:
- Do not compromise on the quality of your research and do not hesitate to say no wherever required.
- Take breaks from your research whenever required. You are the best judge of your mental health.
- Keep your immediate family aware of your deadlines and schedule.
- Look for opportunities to speak at events as it will help you in your research presentations.
- Always take an online backup of your work after every change you make.
- Do not hesitate to apply for funds if your problem can be solved using methods and resources that require financial assistance.
- Do not compromise on your sleeping and eating habits.
- Stay up-to-date with the latest advancements in your area, for example, by subscribing to specific keywords in research databases such as Scopus.
- Attend in-person or online meetups related to general research as well as your area of study.
- Justify every decision you make as part of the study and record it, as the examiners will question your choices during your evaluation.
- Explore innovative ways to solve problems. Experiment with existing methods to determine whether you can adopt them to solve your problem.
- Be aware of the major conferences in your area of research.
- Attend conferences and workshops related to your area of research.
- Present at conferences.
- Write, write, write. Log everything you do, and if possible, label your work by categorizing them into the chapters you plan to write in your thesis. Do not expect to remember all the tasks you completed.
- Choose a topic that gives you a sense of gratification.
- If possible, work with a supervisor after gathering information about their working style and research interests.
Great News! Something I missed when working on academic and research tasks. Relied heavily on Python to avoid working on Excel! People like me can be friends with Excel now 🙂