YZ Sözlüğü
Yapay Zekanın tam sözlüğü
Kernel Machine Learning
Set of techniques that transform non-linearly separable data into a higher-dimensional space where they become linearly separable, mainly used with SVMs for sentiment analysis.
TF-IDF Vectorization
Weighting method that evaluates the importance of a word in a document relative to a collection of documents, crucial for transforming text into numerical features for classical algorithms.
Classification Report
Comprehensive metric including precision, recall, and F1-score for each sentiment class (positive, negative, neutral), providing a detailed evaluation of model performance.
Underfitting
Situation where the model is too simple to capture the complexity of the training data, resulting in poor generalized performance on sentiment analysis.
Stop Words
Common words (articles, prepositions, conjunctions) often removed during preprocessing as they carry little discriminative meaning for sentiment classification.
Class Balancing
Data processing technique to correct the uneven distribution of sentiment classes, essential to avoid prediction biases in favor of the majority class.
Supervised Training
Learning paradigm where the model is trained on a dataset annotated with correct sentiment labels, allowing it to learn the mapping function between texts and their polarities.