Text analysis helps to extract meaningful information from text, such as identifying sentiment from tweets, survey response and product review. In the literal term, it is the process of parsing text into the machine-readable format to identify facts from them. The goal of text analysis is to create structured data from unstructured text documents.
Businesses want to extract meaningful information from the unstructured text data. Nevertheless, sorting through the documents is a time-consuming and expensive process. …
Four-fifths of the world population is under the 0.8 threshold on the Human Development Index (HDI), at which the middle class play a significant role (James, 2012). Access to a some cogent mix of energy sources is needed to reach and sustain that HDI level, in order for countries to develop, and to reduce global strife (James, 2012). However, the electric power industry is facing some dramatic changes in both business and technical standards (Bui et al., 2012; Jaradat et al.,2015). Big Data Analytics (BDA) can help the electric power distribution industry to understand its current business and to forecast…
Tirth Patel
I write about my learnings in the field of Data Science, Visualization, Artificial Intelligence, etc.| Linkedin: https://www.linkedin.com/in/tirth27/
