Identification of Bloom’s Taxonomy level for the given Question paper using NLP Tokenization technique
Main Article Content
Abstract
Bloom’s developed taxonomy level for the questions’ to identify the cognitive level of the student. An automation process is required to do the process in a faster manner. Natural Language Processing (NLP) is one of the areas of programming where software processes natural language. Sentiment analysis, language translation, fake news detection, and grammatical error detection are only a few of the applications.Tokenization is the process of splitting down large blocks of text into smaller ones. Tokenization divides the original text into tokens, which are words and sentences. These tokens aid in the comprehension of the context or the development of the NLP model. Through evaluating the series of sentences, tokenization aids in reading the context of the language. Tokenization can be done using a variety of techniques and databases. Any of the libraries that can be used to complete the challenge are NLTK, Gensim, and Keras.This paper provides the solution to the manual process in the identification of bloom’s taxonomy levels.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.