What is a dictionary in text mining?
Having the right dictionary is at the heart of any text mining analysis. Dictionary for text mining can be compared to maps while travelling in a new city. The more precise and accurate maps you use, the faster you reach to the destination. Use of dictionary helps us convert unstructured text into structured data.
What sentiment means?
noun. an attitude toward something; regard; opinion. a mental feeling; emotion: a sentiment of pity. refined or tender emotion; manifestation of the higher or more refined feelings. exhibition or manifestation of feeling or sensibility, or appeal to the tender emotions, in literature, art, or music.
How does diction software work?
The DICTION Program A computer-assisted program for determining the tone of a verbal message. Uses pre-defined dictionaries to process a passage and compares results to built-in norms. Accommodates user-created dictionaries and available for Windows® and Mac® systems.
How is text mining done in word based dictionaries?
Text mining is typically done in two frameworks. Either we extract words or we extract complete sentences. Word based dictionaries are generally a quicker hit. For instance we have multiple transaction with the word “Macy’s”.
What do you need to know about text mining?
You need to put each frequently occurring word into one of the following three categories : 1. Confirm List : These words are the gold mines. For example, if a transaction detail has the word Macy, I already know that this transaction was done Macy’s. Such word reduce our labor as no more proof is required to categorize such transactions.
Why do we need a niche dictionary for text mining?
The inaccuracy in results is caused due to incomplete dictionary. Many times dictionary for the analysis are available on the web world. For instance, many dictionaries are available for sentiment analysis. But for niche analysis, we need to build a dictionary.
Why do we need a dictionary for data analysis?
Use of dictionary helps us convert unstructured text into structured data. The more precise dictionary you have for the analysis, the more accurate will be the analysis or prediction.