Analytics Vidhya Janatahack: Independence Day 2020 ML Hackathon.
[Kaggle Notebook] (https://www.kaggle.com/wewake/multi-label-topic-classification-using-fastai)
Researchers have access to large online archives of scientific articles. As a consequence, finding relevant articles has become more difficult. Tagging or topic modelling provides a way to give token of identification to research articles which facilitates recommendation and search process.
Given the abstract and titles for a set of research articles, predict the topics for each article included in the test set. Note that a research article can possibly have more than 1 topics. The research article abstracts are sourced from the following 6 topics:
-
Computer Science
-
Mathematics
-
Physics
-
Statistics
-
Quantitative Biology
-
Quantitative Finance
| ID | Unique ID for each article |
|---|---|
| TITLE | Title of the research article |
| ABSTRACT | Abstract of the research article |
| Computer Science | Whether article belongs to topic computer science (1/0) |
| Physics | Whether article belongs to topic physics (1/0) |
| Statistics | Whether article belongs to topic Statistics (1/0) |
| Mathematics | Whether article belongs to topic Mathematics (1/0) |
| Quantitative Biology | Whether article belongs to topic Quantitative Biology (1/0) |
| Quantitative Finance | Whether article belongs to topic Quantitative Finance (1/0) |
| ID | Unique ID for each article |
|---|---|
| TITLE | Title of the research article |
| ABSTRACT | Abstract of the research article |