Extracting information from text using machine learning technology

Suppose I am developing a small Chrome extension primarily using JavaScript. Given a list of strings such as:

Artist - Song Name

Artist, Song Name

Song Name - Artist

Irrelevant info - Song Name - Artist

and so on.

I need to extract only the Song Name from each string, but there are various possible formats the strings could take.

My question is, what is the most effective method for extracting this information? Should machine learning be used? If so, can it be implemented in JS or should an API be utilized? Alternatively, is there another solution besides machine learning?

P.S.

I understand that this question may not align with the typical queries on this site and might appear open-ended and vague. However, I couldn't find anywhere else to seek advice, so

Thank you in advance.

Answer №1

Here's a proposed solution:

  • Create a regular expression for all possible dividing characters (such as commas, hyphens, etc.)
  • Use this regular expression to divide your strings into separate pieces
  • If a string has only one piece, consider it as the title
  • For strings with two pieces, assume that the longer piece is the title and the shorter piece is the artist
  • Compile a list of artists and titles in a global database for better organization
  • Check for any titles that match an artist - this could indicate a mistake
  • For strings with three or more pieces, identify the artists based on your list
  • For the remaining pieces, consider the part with a lower index (closer to the beginning of the string) as the title
  • You can also use the Google API to search if the pieces labeled as titles return more results than other pieces

Keep in mind that this method may not be perfect, but it can provide a starting point.

Answer №2

In the field of machine learning, a significant amount of statistical analysis is involved. In essence, the task at hand for a "machine" is to determine the likelihood of a word or group of words being a song title or an artist's name.

This is where the learning process begins: initially, someone or another machine must provide instruction to the "machine" to kickstart the learning journey.

Even for a human, distinguishing between whether "Hurricane" refers to a song or a band can be challenging without proper context. Contextual information is crucial in ensuring accurate classification.

Perhaps utilizing an open API that already contains this necessary information would offer a more efficient approach. You may want to explore the following question for further insights:

Is there a free database or web service api for music information (albums, artists, tracks)?

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