Show HN: Reddit's favorite products, extracted using deep learning https://ift.tt/vonqgkI

Show HN: Reddit's favorite products, extracted using deep learning Many people add "Reddit" to their search queries to find authentic product reviews. We fine-tuned a BERT model to extract product mentions from over 4 million Reddit comments and posts with Named Entity Recognition (NER). The result is a list of the most mentioned products across many subreddits. Soon, we'll roll out a version that includes sentiment (positive/negative mention). No platform (including Reddit) is resistant to fake reviews and spam, but we think it's happening less frequently here for various reasons: - Redditors and other forum members are more interested in boosting their ego by showing their depth of knowledge on the topic (and correcting others on the topic), whereas corporate websites are more interested in raking profit by displaying (potentially) dishonest information. - Enthusiasts in subreddits are pretty good at spotting dishonest or fake content, which results in immediate downvotes. The whole karma system helps with trustworthiness. - Most subs are moderated well and spam gets removed quite quickly That being said, good fake reviews are technically almost impossible to detect, even with sophisticated network analysis of the reviewer's profile. https://ift.tt/bAr81F2 August 31, 2022 at 04:22PM