Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
Table 8: Results of K-Means Clustering Algorithm for Different Feature Combinations
['[ITALIC]  [BOLD] Feature', '[ITALIC]  [BOLD] Adjusted Rand', '[ITALIC]  [BOLD] V-measure']
From the results, we can see that the highest score of 0.049 in terms of the V-measure and an Adjusted Rand-Index score of 0.059 was achieved using a combination of ngram(1,3) and tf-idf feature.