AJBOR 2022
DOI: 10.54216/ajbor.070103
|View full text |Cite
|
Sign up to set email alerts
|

Using Social Media Data To Forecast Telecom Companies Revenues With Machine Learning

Abstract: Traditional models for predicting future sales of a product or service are based on previous, not updated data, resulting in unsatisfactory and inaccurate forecasting results, meaning that the data used as inputs to the forecasting process is stable and not dynamic during the forecasting process.The research aims to leverage social media data by extracting features from Facebook platform (features are reactions to posts) and using them as input to the automated forecasting system to try to predict corporate re… Show more

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles