New: sentiment-analysisAll contenthive-129948krhive-196917zzansteemhive-185836hive-183959hive-180932hive-150122photographyuncommonlabhive-166405hive-188619hive-144064hive-101145hive-183397hive-145157bitcoinhive-193637krsuccesshive-184714lifehive-181136hive-109690hive-113376TrendingNewHotLikerskhursheedanwar (75)in hive-165987 • last monthSentimenal analysisAssalamualaikum steemians How are you?Hope so everyone would be safe and sound just like me as I am also safe Alhamdulillah.... sentimental analysis is my today's topic to share with all of…vigneshiyer (25)in crypto • 3 years agoBeginner Guide: What Is The Crypto Greed and Fear Index?There are numerous methods to predict the market pattern, such as technical analysis, fundamental analysis, and sentimental analysis. The crypto greed and fear index belongs to the third, which is a…feril (25)in sentiment-analysis • 3 years agoSentiment AnalysisWatch out for this space for more updates. Coming up!nigelmarkdias (69)in steemhunt • 5 years agoCOVID-19 stream - COVID-19 Twitter tweet data-setCOVID-19 stream COVID-19 Twitter tweet data-set Screenshots View Image View Image Hunter's comment A Twitter Developer Labs streaming endpoint, the Twitter…nigelmarkdias (69)in steemhunt • 6 years agoArctop Neuros - Neural interface softwareArctop Neuros Neural interface software Screenshots View Image Hunter's comment What if you could measure empathy? Through AR/VR headsets, headphones & EEG embedded…amitibikram (0)in sentiment-analysis • 6 years agoSentiment Analysis of Coins with Machine LearningI created a report that tracks the Twitter and Reddit sentiment posts of some popular coins. A Machine Learning algorithm classify the message in the posts as positive or negative A sentiment…bbilgin (43)in steemit • 7 years agoGenerate a Word Cloud and Sentiment Analysis for Your Steemit AccountYesterday, I came across two Steemit tools by @egmracer01. The first tool generates a word cloud for a given Steemit account. The word cloud that I generated for my Steemit account yesterday…leegukbeom (25)in nlp • 7 years ago블랙팬서 감정어분석 (네이버 영화)어휘 = 출연빈도 재밌게=26 지루하고=24 지루함=21 지루한=18 최고의=15 최고=13 노잼=13 아쉽다=12 좋았다=12 뻔한=11 재미가=11 지루하지=11 재미는=11 재밌음=11 볼만함=10 유치하고=10 최악=10 (알바로 추정되는 코멘트는 제외했습니다)