Support Vector Machines (SVMs) are quite popular in the data science community. Data scientists often use SVMs for classification tasks, and they tend to perform well in a variety of problem domains. An SVM performs classification tasks by constructing hyperplanes in a multidimensional space that separates cases of different... Read more

Sentiment analysis algorithms understand language word by word, estranged from context and word order. But our languages are subtle, nuanced, infinitely complex, and entangled with sentiment. They defy summaries cooked up by tallying the sentiment of constituent words. Unsophisticated sentiment analysis techniques calculate sentiment/polarity by matching words back to a... Read more