Hybrid Conferencee

International Conference on Text Mining for Marketing Applications (ICT2MA - 26)

28th - 29th November 2026 | Washington DC, USA

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SDG-Inspired Conference Focus:
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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Innovations in Text Mining for E-commerce

This track explores the latest advancements in text mining techniques specifically tailored for the e-commerce sector. Researchers are invited to present their findings on how these innovations enhance customer engagement and drive sales.

Track 02

Sentiment Analysis in Marketing Strategies

This session focuses on the application of sentiment analysis in developing effective marketing strategies. Papers should address methodologies for extracting consumer sentiments from various text sources and their implications for brand management.

Track 03

Natural Language Processing for Customer Insights

This track delves into the role of natural language processing in deriving actionable insights from customer feedback. Contributions should highlight novel approaches to analyzing unstructured text data to inform business decisions.

Track 04

Data-Driven Marketing: Techniques and Applications

This session emphasizes the integration of data analytics in marketing practices. Researchers are encouraged to present case studies and methodologies that demonstrate the effectiveness of data-driven approaches in enhancing marketing outcomes.

Track 05

Social Media Mining for Brand Analysis

This track investigates the use of social media mining techniques to analyze brand perception and consumer behavior. Papers should focus on innovative methods for extracting and interpreting data from social media platforms.

Track 06

Topic Modeling in Market Research

This session is dedicated to the application of topic modeling techniques in market research. Contributions should explore how these methods can uncover hidden themes in consumer feedback and guide marketing strategies.

Track 07

Keyword Extraction for Enhanced Customer Engagement

This track examines the importance of keyword extraction in understanding customer needs and preferences. Researchers are invited to present techniques that improve engagement through targeted marketing efforts.

Track 08

Text Classification for Consumer Behavior Analysis

This session focuses on the application of text classification techniques to analyze consumer behavior. Papers should discuss methodologies that classify customer feedback and reviews to derive meaningful insights.

Track 09

Opinion Mining in Competitive Analysis

This track explores the use of opinion mining to gain competitive insights in various industries. Contributions should highlight techniques for analyzing competitor sentiment and its impact on market positioning.

Track 10

Chat Log Analysis for Customer Service Improvement

This session investigates the analysis of chat logs to enhance customer service experiences. Researchers are encouraged to present findings on how text mining can identify common issues and improve response strategies.

Track 11

Document Clustering for Market Segmentation

This track focuses on the application of document clustering techniques for effective market segmentation. Papers should explore how clustering methods can identify distinct customer segments based on textual data.