Today, companies are drowning in an overwhelming amount of data which is critical for their digital transformation needs and also necessary for other business operations activities. It’s worth noting that a large portion of data collected is unstructured kind originating from various sources, including: text, images as well as audio and video. Data in the form of text might include customers’ review of product or services shared on social media or website and other channels.
Again, as mentioned in previous blog article, data would be useless gathering those data if companies are not able to extract insights out of it. However, for unstructured data generated in the form of text as well as others such as images, audio, and video, how do business organizations can extract insight or take advantage of those data assets? The answer is by utilizing Machine Learning technologies, in particular Natural Language Processing (NLP). Traditionally speaking, it has been difficult for machine to fully comprehend the context of human language conversing. Thanks to Machine Learning technologies, software program can now better determine the uncertainty in human language.
Specifically, with data comes in “text” form, business organizations definitely have the potential and capability to analyze and derive information out of those text data assets, which could come from both internal and external channels.
By applying Natural Language Processing (NLP), business organizations can extract patterns and derive understanding within these forms of text data. NLP helps machine to learn, and understand the meaning of the human language. With that, businesses can improve their digital business operations via website, improve their products and make them easier to use, or enhance service by analyzing feedbacks – NLP enable companies to accomplish all those objectives and then some. Leveraging the power of NLP can help companies to determine the plans to take advantage of those insights information in order to streamline business process and driving growth.