Paper Title

Aspect Based Sentiment Analysis

Article Identifiers

Registration ID: IJNRD_188471

Published ID: IJNRD2303129

DOI: Click Here to Get

Authors

Aryan Sharma , Lakshya Sharma , Parth Suyal , Sonia Relan

Keywords

Abstract

Abstract- Aspect-based sentiment analysis (ABSA) is the subfield of natural language processing that follows the norms for the sole purpose of identifying and extracting the aspects of the given texts. This allows for a more fine-grained sentiment analysis than the other forms of generic sentiment analysis systems, which only provides an overall sentiment viewpoint for an entire document. For example, consider the following hotel review: ” The hotel staff members were very friendly and helpful for different tasks. The rooms during that time were clean and comfortable, but the location could have been better because it was a bit away from the airport. In conclusion, I had a great experience.” In simple and most widely used sentiment analysis systems, this review would be classified only with the tag of positive. On the other hand, in aspect-based sentiment analysis, we can identify specific aspects (e.g.,” staff”,” room”,” location”) and determine the sentiment expressed towards each of them. In this case, the view towards the” staff” and” room” aspects is positive, while the sentiment towards the” location” aspect is negative. ABSA has a wide range of applications, including product reviews, customer feedback analysis, and social media monitoring. It can be used to understand customers’ opinions and preferences, identify areas for improvement, and track the sentiment toward a brand or product over time. Index Terms—component, formatting, style, styling, insert Index Terms—component, formatting, style, styling, insert

How To Cite (APA)

Aryan Sharma, Lakshya Sharma, Parth Suyal, & Sonia Relan (March-2023). Aspect Based Sentiment Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), b223-b229. https://ijnrd.org/papers/IJNRD2303129.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : b223-b229

Other Publication Details

Paper Reg. ID: IJNRD_188471

Published Paper Id: IJNRD2303129

Downloads: 000121982

Research Area: Engineering

Country: Indore, Madhya Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303129.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303129

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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