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ProfileMatcher: A semantic search engine

How it works?

The program works by running a Docker container in Node.js. Node.js is responsible for adding, deleting, and updating the person descriptions, while Python handles finding the best match using bag of words and TF-IDF. Two servers are launched: one for Python and another for Node.js

Preview

Preview Preview

Workflow

Search Request

graph LR;
    id1(Search Request)-->id2(Nodejs Server)-->id3(Python Server)-->id4(Search Function)-->id5(Return Response);
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Process Text

graph LR;
  id1(txt to lower)-->id2(Remove special chars)-->id3(Remove stop words)-->id4(Spell check)-->id5(Lemmatize)-->id6(Replace synonyms)-->id7(Stem);
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How to use?

The project was developed using Docker To build the project, you need to run the following commands:

Build & Run the project:

npm run build

Run the project:

npm run start

Down the project:

npm run down

Limitations

For lemmatization, we used a not-public API getted by web scraping from a Spanish linguistic page, this is the API. The main problem is that the API is limited to n requests hourly, this can be solved by using a proxy, however in this project it was not implemeted.