Analyzing Customer Support on Social Media

Use case in Data Intelligence

The goal of this study is to analyze the queries raised by customers on a particular social media platform by analyzing their interactions with the customer support and provide incisive insights to perform sentiment analysis.

We performed exploratory data analysis to extract insights from the data. With Deep Learning tools like NLTK, sentiment analysis was performed to understand the positive, negative, and neutral sentiments of the customers of a brand. Machine Learning was used to identify the frequency of similar text appearances. Deep learning algorithms were used to understand the customer queries and the average time taken by the respective company’s social customer support team in addressing the queries.

Qualetics provides solutions that enable you to stay in touch with customers. It delivers real value to businesses by ensuring an ROI with social media.

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About Qualetics Data Machines

Data Analytics and Artificial Intelligence is growing to be an ubiquitous need in the modern enterprise ecosystem. The need for Analytics is ranging from basic Descriptive and Diagnostic Analytics to advanced Predictive, Prescriptive and Cognitive Analytics.  However, the barrier of entry is high due to expensive infrastructure and highly skilled resource requirements.

Qualetics Data Machines Inc. aims to eliminate this barrier by introducing a product that makes it easy for businesses to embrace data science and gain data intelligence.

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