Content based Document Classification using Soft Cosine Measure
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 4
Abstract
Document classification is a deep-rooted issue in information retrieval and assumed to be an imperative part of an assortment of applications for effective management of text documents and substantial volumes of unstructured data. Automatic document classification can be defined as a content-based arrangement of documents to some predefined categories which is for sure, less demanding for fetching the relevant data at the right time as well as filtering and steering documents directly to users. For recovering data effortlessly at the minimum time, scientists around the globe are trying to make content-based classifiers and as a consequence, an assortment of classification frameworks has been developed. Unfortunately, because of using conventional algorithms, almost all of these frameworks fail to classify documents into the proper categories. However, this paper proposes the Soft Cosine Measure as a document classification method for classifying text documents based on its contents. This classification method considers the similarity of the features of the texts rather than making their physical compatibility. For example, the traditional systems consider ‘emperor’ and ‘king’ as two different words where the proposed method extracts the same meaning for both of these words. For feature extraction capability and content-based similarity measure technique, the proposed system scores the classification accuracy up to 98.60%, better than any other existing systems.
Authors and Affiliations
Md. Zahid Hasan, Shakhawat Hossain, Md. Arif Rizvee, Md. Shohel Rana
Keywords
Related Articles
- EP ID EP552368
- DOI 10.14569/IJACSA.2019.0100464
- Views 106
- Downloads 0
Duplicates Detection Within Incomplete Data Sets Using Blocking and Dynamic Sorting Key Methods
In database records duplicate detection, blocking method is commonly used to reduce the number of comparisons between the candidate record pairs. The main procedure in this method requires selecting attributes that will...
The Impact of the Implementation of the ERP on End-User Satisfaction Case of Moroccan Companies
In recent years, the implementation of ERP is as a lever for development and inter-organizational collaboration. The ERP is a powerful tool for integration, sharing of information, and fluidizing of the process within th...
Kit-Build Concept Map with Confidence Tagging in Practical Uses for Assessing the Understanding of Learners
An answer of a learner can be interpreted as a learning evidence for demonstrating the understanding of the learner, while a confidence on the answer represents the belief of the learner as the degree of understanding. I...
Mobile Web Services: State of the Art and Challenges
For many years mobile devices were commonly recognized as Web consumers. However, the advancements in mobile device manufacturing, coupled with the latest achievements in wireless communication developments are both key...
An Efficient Normalized Restricted Boltzmann Machine for Solving Multiclass Classification Problems
Multiclass classification based on unlabeled images using computer vision and image processing is currently an important issue. In this research, we focused on the phenom-ena of constructing high-level features detector...