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Sentiment Analysis: Why employers should engage in opinion mining

Jan 02 2019 • Written by Team Fitgenix

~ Team Fitgenix


Companies are analysing emotional tone of employees by analysing their email and other text based qualitative inputs to identify and track expressions. This mining of opinion is termed as Sentiment Analysis.




Such analysis is extremely useful in monitoring the language and tone to get an overview of people’s opinion. Companies across the world are adopting this practise to extract insight from social media data. For any organisation to understand the sentiment behind everything from forum posts to news articles means being better able to strategise and plan better for their future.


This can also be an essential part of an organisation’s market research and customer service approach. Not only can a company see what employees think of their own products and/or services, but can also gauge their competitors too.


The overall experience of employees can be revealed quickly with sentiment analysis with the help of specially designed software tools.


Employee sentiment tools are developed with the help of statisticians, mathematicians and psychologists, as well as machine learning and natural language processing specialists, to develop a process for classifying and summarising open-ended comments.



How Sentiment Analysis is done?

I. By analysing news articles, blog posts, forum discussions, and other texts on the internet over a period of time to understand the sentiment of target employees or audience.

II. Then automatically categorise urgency of all online mentions to your company via sentiment analysis.

III. The designated team working on this will get the alert for the target audience.

IV. Automating the process will give all kinds of interesting insights and analytics.



How employers understand employee sentiments?


Companies are using such software to understand the mood and general sentiments by extrapolating text, emails and every other text-based inputs of employees. The idea is to understand intent behind specific opinion, feedback and thinking.

For instance, if an employee gives a feedback stating that “the wifi connection speed is too slow in our workplace.” The system intuitively takes this as a negative comment. Alternatively, if someone says,’’ I enjoy the employee wellness perks of this organisation,’’ a positive sentiment is generated.



Helpful tool for HR


By analysing the email data employers can determine engagement, leadership, alignment, co-relation and other attributes.


HR teams can look more specifically at who is emailing whom, whether they are having personal or work-focused conversations etc. It gives the employers an opportunity to address issues or make new changes.


Such kind of analysis can help in powering prediction and recommendations too.




Contextual understanding of human language is not easy


We cannot say sentiment analysis is a perfect invention at all.Teaching a machine to understand how context can affect human tone is even more difficult.The way people express their emotions varies a lot and so do the lexical items they use.

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