Authors : Balaji Bodicherla

Volume/Issue : Volume 10 - 2025, Issue 10 - October

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DOI : https://doi.org/10.38124/ijisrt/25oct1312

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Abstract : Natural Language Processing (NLP) is a rapidly evolving field that enables computers to understand, interpret, and generate human language. Within the context of customer relationship management, NLP offers significant opportunities for automating processes, extracting actionable insights, and enhancing customer engagement. Salesforce Einstein Language is a suite of NLP tools embedded in the Salesforce platform, providing organizations with the ability to analyze and classify text data at scale. This article presents a comprehensive overview of Einstein Language, its integration methods, core features, and practical applications, along with implementation best practices and future directions.

Keywords : Salesforce, Einstein Language, Natural Language Processing, Sentiment Analysis, Intent Detection, Text Classification, CRM, Automation, Apex, Lightning Components.

References :

1. Salesforce. Einstein Language API Developer Guide. https://developer.salesforce.com/docs/atlas.en-us.einstein_language.meta/einstein_language/. 2024.
2. Salesforce. Salesforce Einstein Overview. https://www.salesforce.com/products/einstein/overview/. 2024.
3. J. Smith, “Natural Language Processing in CRM: Applications and Challenges,” Journal of Information Technology Management, vol. 36, no. 2, pp. 101–110, 2022.
4. S. S. Srinivasan, “Leveraging NLP for Enhanced Customer Engagement in Salesforce,” International Journal of Computer Applications, vol. 182, no. 45, pp. 12–18, 2021.