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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Aspect Based Sentiment Analysis |
| Authors Name: | Aryan Sharma , Lakshya Sharma , Parth Suyal , Sonia Relan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_188471
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| Published Paper Id: | IJNRD2303129 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| 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 |
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| Cite Article: | "Aspect Based Sentiment Analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b223-b229, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303129.pdf |
| Downloads: | 000118751 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2303129 Registration ID: 188471 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: b223-b229 Country: Indore, Madhya Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303129 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303129 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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