SENTIMENT ANALYSIS: UNVEILING THE GLASS CEILING IN BANKING SECTOR

Abstract

Purpose: The purpose of this paper to investigate the sentiment and experienced expressed by women working in the banking industry as well as explore the perceptions of women employees at different hierarchical levels towards glass ceiling effect.

Methodology: Based on Grounded Theory Sentiment analysis is employed through Python based algorithm with VADER analyzer.  It is the most common text classification tool that analyses an incoming message and tells whether the underlying sentiment is positive, negative or neutral. The process to scan each employee interview comment, compare the word with the predefined dictionary and classify the employee comments into the appropriate emotion category.

Findings: Employee responses written in English. Then analyzing the sentiment with the text (positive, negative or neutral). Positive sentiment indicates respondents agree towards the question. Negative means respondents emotion tell that they do not agree for the question. Most of the responses are neutral for many questions. And lot of positive responses towards glass ceiling say that they are facing the glass ceiling in the banking industry.

Originality: This is the study to examine the existence of glass ceiling in banking industry using the sentiment analysis. Applying this data analytics process to understand the emotion of employees. The results of this study demonstrates the issue that women are still facing the gender discrimination for upgrading the higher position.

Key words: Glass Ceiling, Women, Sentiment Analysis, Bank, Bangladesh.