Conversion of text to numeric form requires a large amount of memory and it is time-consuming also. This paper presents various vectorization techniques and their comparison in terms of memory ...

The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for ...

Step 4: Extracting vectors from text (Vectorization) It’s difficult to work with text data while building Machine learning models since these models need well-defined numerical data. The process to ...

An important problem in natural language processing is text emotion multi-label classification, which seeks to predict various emotions connected to a given text. This research suggests a unique ...