OfficeParser.py is a python script that uses regular expressions to extract data from Microsoft Office files. You can use it to extract tables, fields, rows, column numbers, and other details from Microsoft Office files in a python programming language.
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The officeparser.py module is essentially a wrapper around Apache OpenNLP’s tokenizer, sentence detector, and named entity recognizer. When you run the officeparser.py script you’ll get a bunch of output that contains information about the document and then a lot of text that represents the document broken into sentences and each sentence is labeled with a part of speech tag, or a label indicating what type of entity it identifies.
This blog runs through the process of creating an office parser in Python. The office parser is create with the aim of creating a more office-centric data structure. This structure allows for easier manipulation and querying of office information. This blog will allow you to run through the creation of your own office parser in Python.
Uses of Officeparser
A blog on using officeparser python tool for office files and emails extraction. However, officeparser.py is a python tool which is use to extract text messages and emails from office documents. This is done by converting the documents to email (mbox) format and then splitting the mbox file into individual emails and extracting the text messages from those emails.
OfficeParser.py is a python tool that uses machine learning methods to extract information from office documents and spreadsheets. For instance, This blog will discuss what office documents and spreadsheets are, why OfficeParser.py is needed, the types of information that can be extracted and some of the methods used.
OfficeParser.py Office parser is a language parser API which helps to read Microsoft office files. In addition, to extract data from it. However, The API will support on windows and linux. The API supports .doc .docx .ppt .pptx .xls .xlsx .pptm .potm .potx and .sxi files.
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