RevFind

Quickly find your most important key points in hotel reviews

84 followers

Quickly find your most important key points in hotel reviews

84 followers

RevFind is the ultimate companion for quick hotel review exploration. Say goodbye to sifting through hundreds of reviews, and say hello to efficient automation. It empowers you to extract the essence of hotel experiences by searching keywords within reviews.

Free

Launch tags:Browser Extensions•Travel•Hotels

Launch Team

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RevFind

Maker

📌

Born from a passion of travel and automation, I built RevFind as a tool to help as many people discover a new way of choosing their accommodation on booking.com. I truly hope the unending search through review pages will come to an end and you can extract the essence of the best hotels in a matter of seconds! What will be the first keyword you will search?

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3yr ago

This is epic! I don't use booking a lot, but this might have me on there more, haha. Any plans to add Airbnb as well? I'd use it all the time.

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3yr ago

RevFind

Maker

@esus Thanks for the feedback, this is really appreciated! Airbnb is definitely on the list for the next updates, stay tuned to see it soon!

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3yr ago

Middleware

💡 Bright idea

This is a game-changer for travelers! Great job! A potential improvement could be to include sentiment analysis in the reviews, giving users an even quicker understanding of the overall hotel experience.

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3yr ago

RevFind

Maker

@narendra_solanki Thank you for the feedback, I really appreciate it! This is definitely a great idea, which I also considered! But I was faced with the issue that manifest V3 does not allow external scripts to run in the extension. This makes using an external Natural Language processing library difficult, or forces me to choose an API for NLP, but considering the amount of requests and characters this type of extension requires, it would've become too expensive to run for a free product

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3yr ago

Middleware

@serban22 I completely understand the challenges you're facing with the limitations of manifest V3 and the costs associated with external NLP APIs. It's commendable that you're striving to offer a valuable service while navigating these technical and financial constraints. Have you considered implementing a more basic form of keyword analysis instead? This could involve identifying commonly used positive and negative keywords in reviews. While it wouldn't be as sophisticated as full-blown sentiment analysis, it could still provide users with a quick sense of the general tone of reviews without the need for external NLP libraries. Plus, it might be more feasible to integrate within your current framework and budget.

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3yr ago

RevFind

Maker

@narendra_solanki I am currently using a RAKE algorithm for extracting the most relevant keywords in the 'Key Review Points' section of the extension. It is however limited and doesn't offer a positive or negative classification. This is definitely something I will be working on for the next update. Thanks a lot!

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3yr ago