When your everyday work includes lots of document editing, you realize that every document format requires its own approach and in some cases particular software. Handling a seemingly simple FTM file can sometimes grind the whole process to a stop, especially if you are trying to edit with inadequate tools. To prevent this kind of difficulties, get an editor that can cover all your requirements regardless of the file extension and clean text in FTM without roadblocks.
With DocHub, you are going to work with an editing multitool for virtually any occasion or document type. Minimize the time you used to invest in navigating your old software’s features and learn from our intuitive user interface as you do the work. DocHub is a efficient online editing platform that covers all your document processing requirements for any file, including FTM. Open it and go straight to productivity; no previous training or reading manuals is required to enjoy the benefits DocHub brings to papers management processing. Start with taking a few minutes to register your account now.
See upgrades within your papers processing right after you open your DocHub account. Save time on editing with our single platform that will help you become more productive with any document format with which you need to work.
This video tutorial covers how to clean text data using Python. Cleaning text data involves transforming raw text into a format suitable for analysis, usually by vectorizing it into a bag of words or a list of tokens. The process involves removing numbers, symbols, and non-alphabetic characters, harmonizing letters (e.g. lowercasing), and removing common words (stop words). Python simplifies this process, making it easy to perform these steps in Jupyter Notebook.