Leveraging Natural Language Processing and Sentiment Analysis in Marketing Practices

  • Unique Paper ID: 166451
  • Volume: 11
  • Issue: 2
  • PageNo: 802-811
  • Abstract:
  • This paper examines the synergistic combination of Sentiment Analysis (SA) and Natural Language Processing (NLP) in marketing. Using NLP and SA approaches has grown essential as companies look for new ways to comprehend and address client sentiment. This abstract explores the primary approaches to using these technologies to improve marketing strategies. Marketers can obtain significant insights into customer preferences, feedback, and trends by analyzing customer attitudes through textual data. This paper looks into how Natural Language Processing (NLP) and sentiment analysis (SA) can be used to improve customer interaction, refine marketing strategies, and ultimately increase the efficacy of campaigns as a whole. This paper aims to discuss the work of a Natural Language Processing (NLP) specialist who is part of the Growth Hacking Team of a recently established startup that is releasing a new video game. Enhancing early firms' rapid, explosive growth is one of the main goals of a growth hacking team. In order to achieve this, it presents techniques that allow one to reach as many clients as possible at the lowest feasible cost. We wish to map the video game market as part of our growth hacking plan. Our goal is to learn how customers assess the products of our rivals, specifically what features they enjoy and find objectionable in video games. The marketing group can more successfully communicate the idea of our goods if they are aware of what draws gamers to a video game.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 802-811

Leveraging Natural Language Processing and Sentiment Analysis in Marketing Practices

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