Customer Sentiment Analysis

Understanding the customer sentiments (which reveals the customer’s opinion about topics ranging from products and services, promos, competitors, etc.) is essential for any organization. Big Data analytics helps in analyzing unstructured data from social media. The advanced tools help in social listening and Machine learning-driven natural language processing (NLP) helps in understanding the customer sentiments by means of genre distinctions, emotion and mood recognition, ranking, relevance computations, perspectives in text, text source identification and opinion-oriented summarization. A huge amount of unstructured data can be churned to understand the public sentiments.