Target Specific Message Tailoring

Personalizing marketing messages for specific audience segments is vital for increasing user engagement with advertisements, but it becomes very resource-intensive when the marketer has to deal with multiple segments, products or campaigns. In this research, we explore different approaches towards automating message tailoring:

  1. Algorithmic insertion of adjectives and adverbs that have been found to evoke positive sentiment in specific audience segments, into basic versions of ad messages
  2. Generating summaries of large article tuned to specific topics of interest
  3. Generating summaries adapted to the target vocabulary of interest

Project Publications

Automated Linguistic Personalization of Targeted Marketing Messages Mining User-Generated Text on Social Media

Roy, R., Padmakumar, A., Jeganathan, G., Kumaraguru, P. (Apr. 14, 2015)
Best Paper Award 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing '15)

Generating topic-oriented summaries using neural attention

Krishna, K., Srinivasan, B. (Jun. 6, 2018)
16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

Vocabulary-tailored summary generation

Krishna, K., Murherkar, A., Sharma, S., Srinivasan, B. (Aug. 20, 2018)
27th International Conference on Computational Linguistics (COLING)