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Theedhum Nandrum is a sentiment polarity detection system using twoapproaches--a Stochastic Gradient Descent (SGD) based classifier and a LongShort-term Memory (LSTM) based Classifier. Our approach utilises languagefeatures like use of emoji, choice of scripts and code mixing which appearedquite marked in the datasets specified for the Dravidian Codemix - FIRE 2020task. The hyperparameters for the SGD were tuned using GridSearchCV. Our systemwas ranked 4th in Tamil-English with a weighted average F1 score of 0.62 and9th in Malayalam-English with a score of 0.65. We achieved a weighted averageF1 score of 0.77 for Tamil-English using a Logistic Regression based modelafter the task deadline. This performance betters the top ranked classifier onthis dataset by a wide margin. Our use of language-specific Soundex toharmonise the spelling variants in code-mixed data appears to be a novelapplication of Soundex. Our complete code is published in github athttps://github.com/oligoglot/theedhum-nandrum.

Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: A Sentiment Polarity  Classifier for YouTube Comments with Code-switching between Tamil, Malayalam  and English