This study takes a deeper look into the historical text messages by applying various machine learning techniques. The purpose of the study is to apply Natural Language Processing (NLP) techniques to identify communication trends, evaluate the effectiveness of the existing process, and to provide any insight from historical data.


For the analysis of the data, I used Python as the programming language along with numerous software libraries such as pandas, math, numpy, sklearn, matplotlib and etc. …

Darshana Samaranayake

Data Analyst (IBM Cognos | SQL | Python | Data Analytics | Data Science | Machine Learning | NLP)

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