other researchers, as exemplified by two academic symposiums, a four-month long research program at UCLA that brought together 120 leading researchers from university and industry labs, an academic peer-review Journal of Cultural Analytics: CA established in 2016, and academic job listings. Textual mining, analysis, and visualization WordHoard (begun in 2004) is a free application that enables scholarly but non-technical users to read and analyze, in new ways, deeply-tagged texts, including the canon of Early Greek epic, Chaucer, Shakespeare, and Spenser. The Republic of Letters (begun in 2008) seeks to visualize the social network of Enlightenment writers through an interactive map and visualization tools. Network analysis and data visualization is also used for reflections on the field itself – researchers may produce network maps of social media interactions or infographics from data on digital humanities scholars and projects. Document in Context of its Time (DICT) analysis style and an online demo tool allow in an interactive way let users know whether the vocabulary used by an author of an input text was frequent at the time of text creation, whether the author used anachronisms or neologisms, and enables detecting terms in text that underwent considerable semantic change. Analysis of macroscopic trends in cultural change Culturomics is a form of computational lexicology that studies human behavior and cultural trends through the quantitative analysis of digitized texts. Researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. The term is an American neologism first described in a 2010 Science article called Quantitative Analysis of Culture Using Millions of Digitized Books, co-authored by Harvard researchers Jean-Baptiste Michel and Erez Lieberman Aiden. A 2017 study published in the Proceedings of the National Academy of Sciences of the United States of America compared the trajectory of n-grams over time in both digitised books from the 2010 Science article with those found in a large corpus of regional newspapers from the United Kingdom over the course of 150 years. The study further went on to use more advanced natural language processing techniques to discover macroscopic trends in history and culture, including gender bias, geographical focus, technology, and politics, along with accurate dates for specific events. The applications of digital humanities may be used along with other non humanities subject areas such as pure sciences, agriculture, management etc. to produce great variants of practical solutions to solve issues in industry as well