Lexicon-based sentiment analysis for Kannada-English code-switch text

Sentiment analysis is the process of computationally recognizing and classifying attitudes conveyed in each text towards a particular topic, product, etc. which either positive or negative. one interesting applications natural language processing (NLP) used to analyze social media. Text media casual it can be written code-switch monolingual text. Several researchers have implemented sentiment on text, though sentiments expressed applied through deep learning (DL), machine (ML), Lexicon-based approach. Machine (ML) (DL) methods are time-consuming, expensive, need training data for analysis. method does not require requires less time find comparison with ML DL. In this paper, we propose approach (NBLex) Kannada-English This first effort that targets perform using The proposed performed better accuracy 83.2% 83% F1-score.