Determination of content score

A computer-implemented method to determine a content score of one or more resource contents comprising:

• a) receiving in a processor from a user the one or more resource contents and one or more main topics, wherein the one or more resource contents are contents of webpages which are completed or partially completed;
• b) automatically with the processor determining an overall content score value of the one or more resource contents by:
• 1) determining individual content score values which include a quantity score value, a relevance score value, and a language content score value,
• 2) determining weighted individual content score values by weighting the individual score values, and
• 3) summing the weighted individual content score values;
• c) automatically with the processor determining instructions to improve the overall content score value of the one or more resource contents;
• d) outputting the overall content score value and presenting to the user in a form of a document or webpage;
• and
• e) outputting the instructions as textual instructions, graphical instructions, or both;
• wherein determining the quantity score value includes:
• i) calculating a length ratio by dividing a length of the one or more resource contents by a target length value;
• and
• ii) applying a function to the length ratio so that values of the length ratio which are greater than 0 and less than 0.5 are amplified and the values of the length ratio which are greater than 0.5 are attenuated, wherein the function is a smooth and strictly monotonically increasing function;
• and
• wherein determining the relevance score value includes automatically obtaining one or more relevant topics from a plurality of resources on a computer network and using the one or more relevant topics to determine the relevance score value;
• or
• wherein determining the relevance score value includes:
• i) automatically converting the one or more resource contents into one or more content vectors, and automatically converting the one or more main topics into one or more main topic vectors or the one or more relevant topics into one or more relevant topic vectors;
• ii) determining one or more main topic similarity values indicating similarity of the one or more main topic vectors to the one or more content vectors, or determining one or more relevant topic similarity values indicating similarity of the one or more relevant topic vectors to the one or more content vectors;
• iii) aggregating the one or more main topic similarity values or the one or more relevant topic similarity values to calculate the relevance score value;
• and
• wherein determining the language content score value includes:
• i) automatically determining a language of the one or more resource contents;
• ii) calculating two or more of the following:
• a weighted word distribution score value, a weighted unigram score value, a weighted bigram score value, and a weighted punctuation score value;
• and
• iii) averaging or multiplying at least two of the following:
• the weighted word distribution score value, the weighted unigram score value, the weighted bigram score value, and the weighted punctuation score value.