Identifying false positives between matched words

A method, comprising:

• accessing text data extracted from an Internet search;
• determining at least a portion of the text data is included in a first set of keywords previously identified by a system;
• calculating a first false positive score associated with the text data, wherein the first false positive score is calculated at least in part by matching the text data with a plurality of text strings of an electronic file, the plurality of text strings containing one or more keywords from the first set of keywords, wherein the plurality of text strings have been labeled as being false positive;
• determining a set of trusted keywords using at least a frequency score, wherein the frequency score is determined based at least in part on a frequency of each word of the plurality of text strings appearing in the plurality of text strings;
• calculating a second false positive score associated with the text data, wherein the second false positive score is calculated based in part on a percentage of words in the text data that comprises the set of trusted keywords;
• identifying, based on the first false positive score and the second false positive score, the text data as a match to a result type;
• and
• determining, based on the identifying, whether one or more webpages containing the text data should be returned as a result of the Internet search.

A non-transitory computer readable medium storing computer-executable instructions that in response to execution by one or more hardware processors, causes a system to perform operations comprising:

• determining at least a portion of an Internet search term is included in a first set of keywords previously identified by the system;
• calculating a first false positive score associated with the Internet search term, wherein the first false positive score is calculated at least in part by comparing the Internet search term to a plurality of text strings that contain one or more keywords from the first set of keywords, and wherein the plurality of text strings were previously determined to be false positive;
• determining a set of trusted keywords using at least a frequency score, wherein the frequency score is calculated based at least in part on a frequency of each word of the plurality of text strings appearing in the plurality of text strings that were previously determined to be false positive;
• calculating a second false positive score associated with the Internet search term, wherein the second false positive score is calculated based in part on a percentage of words in the Internet search term that comprises the set of trusted keywords;
• identifying, based on the first false positive score and the second false positive score, the Internet search term as a match to a result type;
• and
• determining, based on the identifying, whether one or more webpages associated with the Internet search term should be displayed.