On-location / Digital Conference

International Conference on Text Mining for Marketing Applications (ICT2MA-27)

10th - 11th Jun 2027,Zurich, Switzerland

In Association With:

Call for Paper


Important Dates


Early Bird Registration

11th May 2027

Paper Submission Deadline

16th May 2027

Registration Deadline

26th May 2027

Conference Date

10th - 11th Jun 2027

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  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Zurich conference.
  • Peer Review Process:
    The peer review process will begin soon for Zurich conference.
  • Networking with Global Experts:
    Join global experts at our conference in Zurich.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICT2MA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Text Mining for Marketing Applications, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Text mining techniques for marketing insights
  • Sentiment analysis in consumer feedback
  • Leveraging text data for brand strategies
  • Challenges in text mining applications
  • Case studies in successful text mining
  • Using text mining for competitive analysis
  • Natural language processing in marketing
  • Text mining for customer segmentation
  • Impact of social media text data
  • Ethics of text data usage in marketing
  • Text mining for product development insights
  • Trends in text mining technologies
  • Integrating text mining with analytics tools
  • Text mining for enhancing customer experience
  • Role of text mining in brand reputation
  • Text mining for market trend analysis
  • Future of text mining in marketing
  • Text mining for crisis management strategies
  • Using text mining for personalized marketing
  • Text mining applications in e-commerce

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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