IJADAR Volume 04 Issue 01 2026

Regular Issue Subscription Original Research Published on :- Nov 18, 2025

Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing

Shravani B. Nikam, Ishika B. Mulekar, Diya A. Deshmukh, Sanuja K. Khutale, Neelima S. Ambekar,

Abstract : The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social read more

[This section belongs to International Journal of Algorithms Design and Analysis Review (ijadar)]

01-09

Regular Issue Subscription Review Article Published on :- Feb 20, 2026

Enhancing Smart Grid Resilience Through AI-Based Fault Classification

Alok Prasad, Alok Kumar,

Abstract : Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), read more

[This section belongs to International Journal of Algorithms Design and Analysis Review (ijadar)]

10-15

Regular Issue Subscription Review Article Published on :- Apr 27, 2026

Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps

Rupali Jadhav, Piyush Girase,

Abstract : Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of read more

[This section belongs to International Journal of Algorithms Design and Analysis Review (ijadar)]

16-21

Regular Issue Subscription Original Research Published on :- Mar 20, 2026

Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification

Aditi Biswas, Surendra Kumar Yadav, Shruti Mathur,

Abstract : Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of read more

[This section belongs to International Journal of Algorithms Design and Analysis Review (ijadar)]

22-32

Regular Issue Subscription Review Article Published on :- Apr 28, 2026

Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species

Sathi Lakshmi Teja Sri, Manas Kumar Yogi,

Abstract : The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity read more

[This section belongs to International Journal of Algorithms Design and Analysis Review (ijadar)]

33-45

Editorial Board

View Full Editorial Board

ijadar maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Dr. Sharada Patil, Associate Professor

Sinhagad Institute of business Administration and Research, Pune, India, 411048

Email :

Institutional Profile Link: http://cms.sinhgad.edu/sinhgad_management_institutes/sibar_mca/faculty-details.aspx

Journal: International Journal of Algorithms Design and Analysis Review

View Full Profile APID Profile

Initiatives

Legal Information

Contact Us

STM Journals
An imprint of Consortium E-learning network Pvt. Ltd.
A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin-201301
(Tel) (+91) 0120- 4781 200
(Mob) (+91) 9810078958, +919667725932
[email protected]

Join Us

Submit Manuscript

Submit Topics

WEBSITE DISCLAIMER

Last updated: 2022-06-15

The information provided by STM Journals (“Company”, “we”, “our”, “us”) on https://journals.stmjournals.com/ (the “Site”) is for general informational purposes only. All information on the Site is provided in good faith, however, we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of any information on the Site.

UNDER NO CIRCUMSTANCE SHALL WE HAVE ANY LIABILITY TO YOU FOR ANY LOSS OR DAMAGE OF ANY KIND INCURRED AS A RESULT OF THE USE OF THE SITE OR RELIANCE ON ANY INFORMATION PROVIDED ON THE SITE. YOUR USE OF THE SITE AND YOUR RELIANCE ON ANY INFORMATION ON THE SITE IS SOLELY AT YOUR OWN RISK.

EXTERNAL LINKS DISCLAIMER

The Site may contain (or you may be sent through the Site) links to other websites or content belonging to or originating from third parties or links to websites and features. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability, or completeness by us.

WE DO NOT WARRANT, ENDORSE, GUARANTEE, OR ASSUME RESPONSIBILITY FOR THE ACCURACY OR RELIABILITY OF ANY INFORMATION OFFERED BY THIRD-PARTY WEBSITES LINKED THROUGH THE SITE OR ANY WEBSITE OR FEATURE LINKED IN ANY BANNER OR OTHER ADVERTISING. WE WILL NOT BE A PARTY TO OR IN ANY WAY BE RESPONSIBLE FOR MONITORING ANY TRANSACTION BETWEEN YOU AND THIRD-PARTY PROVIDERS OF PRODUCTS OR SERVICES.

PROFESSIONAL DISCLAIMER

The Site can not and does not contain medical advice. The information is provided for general informational and educational purposes only and is not a substitute for professional medical advice. Accordingly, before taking any actions based on such information, we encourage you to consult with the appropriate professionals. We do not provide any kind of medical advice.

Content published on https://journals.stmjournals.com/ is intended to be used and must be used for informational purposes only. It is very important to do your analysis before making any decision based on your circumstances. You should take independent medical advice from a professional or independently research and verify any information that you find on our Website and wish to rely upon.

THE USE OR RELIANCE OF ANY INFORMATION CONTAINED ON THIS SITE IS SOLELY AT YOUR OWN RISK.

AFFILIATES DISCLAIMER

The Site may contain links to affiliate websites, and we may receive an affiliate commission for any purchases or actions made by you on the affiliate websites using such links.

TESTIMONIALS DISCLAIMER

The Site may contain testimonials by users of our products and/or services. These testimonials reflect the real-life experiences and opinions of such users. However, the experiences are personal to those particular users, and may not necessarily be representative of all users of our products and/or services. We do not claim, and you should not assume that all users will have the same experiences.

YOUR RESULTS MAY VARY.

The testimonials on the Site are submitted in various forms such as text, audio, and/or video, and are reviewed by us before being posted. They appear on the Site verbatim as given by the users, except for the correction of grammar or typing errors. Some testimonials may have been shortened for the sake of brevity, where the full testimonial contained extraneous information not relevant to the general public.

The views and opinions contained in the testimonials belong solely to the individual user and do not reflect our views and opinions.

ERRORS AND OMISSIONS DISCLAIMER

While we have made every attempt to ensure that the information contained in this site has been obtained from reliable sources, STM Journals is not responsible for any errors or omissions or the results obtained from the use of this information. All information on this site is provided “as is”, with no guarantee of completeness, accuracy, timeliness, or of the results obtained from the use of this information, and without warranty of any kind, express or implied, including, but not limited to warranties of performance, merchantability, and fitness for a particular purpose.

In no event will STM Journals, its related partnerships or corporations, or the partners, agents, or employees thereof be liable to you or anyone else for any decision made or action taken in reliance on the information in this Site or for any consequential, special or similar damages, even if advised of the possibility of such damages.

GUEST CONTRIBUTORS DISCLAIMER

This Site may include content from guest contributors and any views or opinions expressed in such posts are personal and do not represent those of STM Journals or any of its staff or affiliates unless explicitly stated.

LOGOS AND TRADEMARKS DISCLAIMER

All logos and trademarks of third parties referenced on https://journals.stmjournals.com/ are the trademarks and logos of their respective owners. Any inclusion of such trademarks or logos does not imply or constitute any approval, endorsement, or sponsorship of STM Journals by such owners.

Use of AI Tools in Blog Content

Some of the blog posts published on this website are created with the assistance of Artificial Intelligence (AI) tools. While efforts are made to review and edit the content for accuracy and appropriateness, there may still be instances where unintended, unnecessary, or unverified information or claims appear.Readers are advised to use their discretion while interpreting the content. The primary purpose of using AI-generated content is to provide our audience with the most recent, diverse, and wide-ranging information on various topics. The content is intended to inform and engage, not to mislead.All external links included in the blogs are intended to guide users to real and authentic workshops, programs, or resources. The information presented through those links is curated and verified to the best of our knowledge.This disclaimer is meant to inform visitors about the use of AI in content creation, acknowledge potential limitations in content accuracy, and encourage informed and responsible reading.

CONTACT US

Should you have any feedback, comments, requests for technical support, or other inquiries, please contact us by email: [email protected].