Academic journals provide information such as titles, keywords, and abstracts of articles that may be useful for tracking trends in fields over time or investigating what topics or clusters of research exist in a field. Some, but not all, publishers also allow researchers to access the full text of articles for text analysis, subject to certain limits and restrictions. Academic citation data is often used in network analyses.
JSTOR makes available for text mining its numerous peer-reviewed journals covering most academic disciplines.
Data for Research Create a free account at JSTOR's DFR site to text mine. This self-service system allows you to download metadata, citations, word frequencies, key terms of up to 1000 documents. For larger datasets contact JSTOR at email@example.com.
ScienceDirect-Elsevier offers Scopus, SciVal and Engineering Village text mining through APIs. You will need an API key which you can access from the registration link on the left.
Elsevier's Text Mining Policy
Clarivate Analytics - Web of Science includes citations from:
Science Citation Index Expanded
Social Sciences Citation Index
Conference Proceedings Citation Index
Book Citation Index
Data Citation Index
BIOSIS Citation Index
Current Chemical Reactions
Current Contents Connect
Derwent Innovations Index