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This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.
Building the model of a financial news sentiment classifier. Financial news headlines will be classified as positive, negative or neutral (from an investor point of view)
Türkçe Doğal Dil İşleme ile Sosyal Medya Zorbalığının Tespiti için TFIDF ile yapılmış modellerin denemelerini yapmak için oluşturulmuş notebook u içermektedir.
This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.
This Jupyter Notebook demonstrates the implementation of a K-Nearest Neighbors (KNN) algorithm using the concept of nearest neighbors without using direct classifiers. It also includes exploratory data analysis (EDA) and comparison of three classifiers.