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Document classification can be described as a way to automatically organize text-based files like .docx as well as .pdf to categories. By separating files based on their contents, text document classification can be used to ensure an unbiased categorization even when names of files are not consistent or do not accurately reflect the content, or they're in different formats like images or scans.
Automated document classification can be used for three different purposes:
1. Categorization Categorization Automatically categorize documents so as to allow them to be processed in groups
2. ID - Get document characteristics extracted like language, genre or subject
3. Analytics Analytics To detect patterns, trends or connections across several documents, including meta-analysis of the scientific literature, or within an organization's Technical Support tickets.
Before you begin consider the reason you're recording and transcribing conference calls at all in the first place. If the call is important enough to warrant an official record, then should that record be as precise, timely and as secure as is possible?
Conference calls are a part of our daily lives. Along with the everyday business, they may cover everything from complex financial discussions or HR issues to legal actions including regulatory investigations and secret corporate plans.
What can specialist transcription providers do to add Value
There are many expert, skilled transcriptionists that provide high-quality flexible, quick and affordable Video Transcription services to conference calls.
There are certain advantages to leaving the work to the experts:
1. QualityThe top service providers have been ISO 9001 certified, reaching international standards of high-quality and continuous improvement. Transcribers are trained thoroughly and screened as well as transcripts are quality monitored with an audit process that is in place.
2. Scale and flexibility - a specialist company can customize its services to your specific requirements and be able to meet urgent, last-minute, or large demand and also unusual projects, such as calls with foreign-language users or those dealing with technical questions.
3. Experience Established transcription companies have been through it all dealing with a myriad of issues and accumulating a wealth of experience. They are usually an inch ahead of the latest technological advancements and employ the latest technology for recording and transcription.
4. Security Professional providers use casting-iron information management systems which ensure that your data is private. They also have secure facilities in-house for transcribing the most sensitive information as well as being certified according to ISO 27001, the 'gold standard' for handling data.
Training Data Preparation and Processing
In order to train a deep learning document classification algorithm, the algorithm requires top-quality, labeled data. To produce a top-quality AI Training Datasets, first look at the what follows:
1. Define the categories or classes Find out the categories the document classification model could classify documents. They may differ based on the use situation, but examples are categorizing news articles by subject (sports or politics, for instance), business) as well as classifying financial documents (invoices and statements or buy order) as well as categorizing human resource documents (passport or driving license or evidence that you are a resident). The number of datapoints per each class should be balanced, since any imbalances could require adjust the model, or create artificial balances of the dataset through either under- or over-sampling every class.
2. How to get the data - This involves the collection of data relevant to your specific use. There are a lot of trustworthy and free data sets available online. We've compiled an overview of the most important ones here.
3. formatting - This process ensures that all documents are formatted in a consistent text-based format. Particularly important to be aware of is the documents that are scans or images. To incorporate them into the test or training sets, we must make use of OCR (OCR) device to decipher meta-data and texts from images.
4. Cleaning and transformation of data - to create a model that can efficiently comprehend text-based information, you can apply the following transformation procedures:
5. Correction of case: make any text to lower or uppercase.
A. Regex for characters that are not alphanumeric Eliminate all characters that are not alphanumeric like punctuation.
B. Word Tokenization: A single page text string is transformed into a an alphabet of words
C. Stopwords Removal: Stopwords are commonly used words used in the language of a country like "the", "is" or "a". They aren't helpful for separating documents. They can also be specific to a particular domain and can be found in a variety of documents, for instance, the word "price" in financial documents. These words are also able to be eliminated.
6. Data split between testing and training After the data is gathered and processed, you can split the data into testing and training. The proportion should be at least 80% for use for training , and 20 percent that is used to test. Also, the data should be randomly distributed in a stratified manner for every class.
Flexible Pricing Options to Cost-Effective Transcription
Of course, a major consideration is the cost, particularly when you have to record conferences frequently, or in large quantities. The positive side is that many specialists offer different pricing plans, which means that you pay only for the features you require, at the time you require it.
Costs differ based on the turnaround time, for instance the time frame for a Audio Transcription, and if it isn't required, clients can opt for an easier, less expensive option. There is also the option of choosing an alternative kind of service based on whether you want each sound recorded or just the essential areas. No matter what the situation an experienced service provider will collaborate closely with clients to determine the appropriate quality of service for every project.