Using sentiment analysis to measure the outcome of marketing campaigns on Twitter, an empirical approach

Cassone, Felice (A.A. 2019/2020) Using sentiment analysis to measure the outcome of marketing campaigns on Twitter, an empirical approach. Tesi di Laurea in Customer intelligence & big data, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 118. [Master's Degree Thesis]

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Abstract/Index

Research analysis. Qualitative and quantitative methods for research. Sentiment analysis as a synthesis between qualitative and quantitative. Sentiment analysis, theory and methodology. Opinion lexicon generation. Social media campaigns. Social media marketing. The community managers and their teams. Sentiment analysis on the campaigns. The hashtag campaigns.

References

Bibliografia: pp. 101-112.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Marketing (LM-77)
Chair: Customer intelligence & big data
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Braccini, Alessio Maria
Academic Year: 2019/2020
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 18 Dec 2020 10:52
Last Modified: 18 Dec 2020 10:52
URI: https://tesi.luiss.it/id/eprint/27878

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