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This article proposes a sentiment analysis model of YouTube video comments, using a deep neural network. We employed an embedding layer to represent input text as a tensor, then we used a pair of convolutional layers to extract features and a fully connected layer to make the classification. ...
Extract subtitles (captions) from one or multiple YouTube videos. Download YouTube video subtitles (captions) as a HTML, JSON, CSV, Excel, or XML doc.
The emotional information was automatically extracted with an automatic sentiment detection tool whose reliability was tested with human coders. Ordinary least squares regression models were used to estimate the strength of sentiments. The models controlled for the number of video views and comments, ...
Background Royalty Free Music - Emotional PianoRoyalty-free-music 3:01 Modern klassiek Omgeving Achtergrond Meer laden Genre Solo Piano Nostalgie Modern Klassiek Kleine Emoties Stemming Dromerig Helder Hoopvol Ontspannend Sentimentele Romantisch Vredevol Beweging Elegant Drijvend Traag Thema Filmmuz...
Since the YouTube comments data is publicly available, you can easily copy-paste it into a spreadsheet or excel and create a dataset. Using that dataset, you can perform sentiment analysis or apply your AI algorithms to it. But, manually copying data to an Excel sheet is time-consuming and...
2022. “Robots, Artificial Intelligence, and Service Automation (RAISA) in Hospitality: Sentiment Analysis of YouTube Streaming Data.” Electronic Markets 32 (1): 259–275. https://doi.org/10.1007/s12525-021-00514-y. (Open in a new window)Web of Science ®(Open in a new window)...
Sintija Petersone, Chief Marketing Officer at Desktime, also resonates with this sentiment. For instance, her team’s video on timeboxing is continuously picking up steam since its launch, resulting in the most subscriptions. While it's not very different, the algorithm favors it. So, create ...
vpir, lambda x: x['sentimentBar']['sentimentBarRenderer']['tooltip']) if sbr_tooltip: # however dislike_count was hidden by YT, as if there could ever be dislikable content on YT like_count, dislike_count = sbr_tooltip.split(' / ') info.update({ 'like_count': str_to_int(like...
This work focuses on automatically analyzing a speaker's sentiment in online videos containing movie reviews. In addition to textual information, this approach considers adding audio features as typically used in speech-based emotion recognition as well as video features encoding valuable valence informati...