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  Authors

Meshineni Ram Bhupal,Gogada Venkata Sujitha,Battula Sai Sri Lakshmi Renuka,Damarla Rajya Lakshmi

  Keywords

Machine learning, NLP, sentiment analysis, human language, BERT, LSTM, GRU.

  Abstract


Social media platforms have emerged as a vital source of customer input and public opinion in the current digital era. When trying to glean relevant data from the vast amount of unstructured comments on these sites, it may be quite difficult. Due to the inefficiency of traditional manual sentiment analysis techniques, more advanced methods are now required. Recent developments in Natural Language Processing (NLP), in particular the application of neural network architectures such as Gated Recurrent Units (GRU), Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT), have demonstrated significant promise in enhancing the precision and effectiveness of sentiment analysis. These models are perfect for large-scale comment analysis because they are very good at interpreting the mood, context, and subtleties of language used in social media comments. This study investigates the classification and analysis of social media comments using BERT, LSTM, and GRU, offering important insights into public opinion on a range of subjects. The results demonstrate how well these models capture trends, spot new problems, and support enterprises in making data-driven decisions. Additionally, by integrating these cutting-edge models, social media comments may be processed in real-time, empowering businesses to proactively address new trends or problems. The interpretability of intricate models and the scalability to manage very big datasets are still problems, though.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504412

  Paper ID - 280152

  Author type - Indian Author

  Page Number(s) - d538-d547

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  No Of Downloads - 77

  Author Country - India, 522508, Guntur,, Guntur,, 522508, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2504412

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2504412

  Published Paper PDF Downlaod: - download.php?file=IJCRT2504412

  Cite this article

Meshineni Ram Bhupal,Gogada Venkata Sujitha,Battula Sai Sri Lakshmi Renuka,Damarla Rajya Lakshmi,   "ANALYSIS OF SOCIAL MEDIA COMMENTS USING NLP", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d538-d547, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504412.pdf

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