I’m working on a project involving keyword extraction and would like to use Python for this task. What are some of the most effective libraries or methods for keyword extraction in Python? Can anyone share their experiences or recommend resources for implementing keyword extraction efficiently?
One of the core tasks of Natural Language Processing (NLP) is keyword extraction, which is finding and extracting the most significant words or phrases from a given text. Applications for it can be found in many different fields, such as information retrieval, document clustering, text summarization, and search engine optimization.
I’d recommend starting with spaCy for its ease of use and comprehensive NLP features, or KeyBERT if you’re looking for something specifically tuned for keyword extraction.
I tried harvesting Flipkart product reviews using a search query. I did it in Python, using the Requests and Beautifulsoup modules. It can be done much more efficiently with Scrapy, but I haven’t tried it myself. Selenium is another popular library for emulating a browser, and it can be useful if the data is generated by javascript rather than being embedded directly in HTML; however, because it emulates a real browser, it downloads all of the images and other resources as well, which requires a good internet bandwidth and may take some time. Thus, based on the volume and usability, you can select a framework and begin scraping the data.