Navigating the Abyss: Overcoming Challenges in Text Mining for Climate Science

Abstract

Text mining has emerged as a very popular tool in the past years and helped in concluding valuable facts from widespread heterogeneous data in domain of climate science. When we navigate through the abysses of the text data from climate science domain there are many challenges that needs attention to use the maximum potential of this approach. The paper first highlights those voids that needs to be filled with detailed literature review followed by an innovative algorithm with detailed explanation how the algorithm overcomes the mentioned voids previously stated. Empirical validation and graphical interpretation are also provided to support the efficiency of our algorithm in comparison with other existing advanced algorithms in this domain presently in use. Also, we mentioned challenges evolved due to our new algorithm followed by future scopes and conclusion.