An Analysis of Sentiment: Methods, Applications, and Challenges
Sentiment analysis involves contextually examining text to identify and extract subjective information from source material. It aids businesses in comprehending the public sentiment surrounding their brand, product, or service while monitoring online discussions. Nevertheless, analyzing social media...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/59/1/68 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850205708088246272 |
|---|---|
| author | Harish Dutt Sharma Parul Goyal |
| author_facet | Harish Dutt Sharma Parul Goyal |
| author_sort | Harish Dutt Sharma |
| collection | DOAJ |
| description | Sentiment analysis involves contextually examining text to identify and extract subjective information from source material. It aids businesses in comprehending the public sentiment surrounding their brand, product, or service while monitoring online discussions. Nevertheless, analyzing social media content is often limited to basic sentiment analysis and simple count-based metrics. Devices that allow the collection of huge amounts of unstructured, opinionated data are becoming increasingly connected with humans. Everyday-activity-related comments and evaluations have been obtained as a result of the advances in Internet-based services like social media platforms and blogs. This study supplies a comprehensive assessment of sentiment analysis approaches to provide academics with a global perspective on the analysis of feelings and its associated domain, applications, and challenges. To comprehend the applications of sentiment analysis, this article provides a detailed explanation of the technique for performing this activity. To comprehend the benefits and drawbacks of each method, they are then evaluated, compared, and discussed. To establish future perspectives, the difficulties of sentiment analysis are finally evaluated. |
| format | Article |
| id | doaj-art-1c3359fe63054e40b66ed9dff2d79fe5 |
| institution | OA Journals |
| issn | 2673-4591 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-1c3359fe63054e40b66ed9dff2d79fe52025-08-20T02:11:01ZengMDPI AGEngineering Proceedings2673-45912023-12-015916810.3390/engproc2023059068An Analysis of Sentiment: Methods, Applications, and ChallengesHarish Dutt Sharma0Parul Goyal1Department of Computer Application, School of CA&IT, Shri Guru Ram Rai University, Dehradun 248001, Uttarakhand, IndiaDepartment of Computer Application, School of CA&IT, Shri Guru Ram Rai University, Dehradun 248001, Uttarakhand, IndiaSentiment analysis involves contextually examining text to identify and extract subjective information from source material. It aids businesses in comprehending the public sentiment surrounding their brand, product, or service while monitoring online discussions. Nevertheless, analyzing social media content is often limited to basic sentiment analysis and simple count-based metrics. Devices that allow the collection of huge amounts of unstructured, opinionated data are becoming increasingly connected with humans. Everyday-activity-related comments and evaluations have been obtained as a result of the advances in Internet-based services like social media platforms and blogs. This study supplies a comprehensive assessment of sentiment analysis approaches to provide academics with a global perspective on the analysis of feelings and its associated domain, applications, and challenges. To comprehend the applications of sentiment analysis, this article provides a detailed explanation of the technique for performing this activity. To comprehend the benefits and drawbacks of each method, they are then evaluated, compared, and discussed. To establish future perspectives, the difficulties of sentiment analysis are finally evaluated.https://www.mdpi.com/2673-4591/59/1/68sentiment analysistext miningsocial mediaemotion detectionclassification |
| spellingShingle | Harish Dutt Sharma Parul Goyal An Analysis of Sentiment: Methods, Applications, and Challenges Engineering Proceedings sentiment analysis text mining social media emotion detection classification |
| title | An Analysis of Sentiment: Methods, Applications, and Challenges |
| title_full | An Analysis of Sentiment: Methods, Applications, and Challenges |
| title_fullStr | An Analysis of Sentiment: Methods, Applications, and Challenges |
| title_full_unstemmed | An Analysis of Sentiment: Methods, Applications, and Challenges |
| title_short | An Analysis of Sentiment: Methods, Applications, and Challenges |
| title_sort | analysis of sentiment methods applications and challenges |
| topic | sentiment analysis text mining social media emotion detection classification |
| url | https://www.mdpi.com/2673-4591/59/1/68 |
| work_keys_str_mv | AT harishduttsharma ananalysisofsentimentmethodsapplicationsandchallenges AT parulgoyal ananalysisofsentimentmethodsapplicationsandchallenges AT harishduttsharma analysisofsentimentmethodsapplicationsandchallenges AT parulgoyal analysisofsentimentmethodsapplicationsandchallenges |