These pages contain descriptive information, coding resources, and other related documents for various common NLP methods.
Before applying any of these approaches on text data, it is important to remember that doing the actual analysis (e.g., applying a lexicon, training a topic model) is often not the hard and time-consuming part of NLP. What is the hardest part (and takes the longest) is knowing which method to apply to achieve your analytical aims, and sufficiently exploring your data and selecting among various data pre-processing approaches. You should allocate enough time to complete these steps prior to analysis. It is important to know your data well and ensure that text processing and analysis is working as intended, so that your results are accurate and meaningful.
Note Some content on these pages was written with generative AI support (https://chatgpt.com/)