Text Mining, Clustering and Sentiment analysis: A systematic Literature Review

The objective of this study is to provide a systematic literature review related to text mining, clustering, and sentiment analysis by trying to find more appropriate technics, methods, algorithms, and procedures in this field with special emphasis on lower resource languages such as Albanian language. In this study, we have analyzed more than 170 papers that are published in the last decade from relevant databases such as IEEE, ACM, Scopus, and Springer among others. This paper aims to identify the advantages and disadvantages of each approach and underline some of the major remaining obstacles and challenges in this area.