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generative ai models  (Alser Teknik)

 
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    Alser Teknik generative ai models
    Generative Ai Models, supplied by Alser Teknik, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/generative+ai+models/10__1007_slash_s10639___023___12256___9-57-12-27?v=Alser+Teknik
    Average 90 stars, based on 1 article reviews
    generative ai models - by Bioz Stars, 2026-06
    90/100 stars

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    Image Search Results


    (A) Number of Posts and Comments in the dataset since the inception of the subreddit (r/deepseek). (B) Number of Posts and Comments in the dataset for the months January and May 2025. (C) Sentiment analysis of the Posts and Comments in the subreddit. (D) Emotion analysis of the Posts and Comments in the subreddit.

    Journal: Frontiers in Artificial Intelligence

    Article Title: Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

    doi: 10.3389/frai.2025.1703949

    Figure Lengend Snippet: (A) Number of Posts and Comments in the dataset since the inception of the subreddit (r/deepseek). (B) Number of Posts and Comments in the dataset for the months January and May 2025. (C) Sentiment analysis of the Posts and Comments in the subreddit. (D) Emotion analysis of the Posts and Comments in the subreddit.

    Article Snippet: This study examined Reddit’s r/deepseek subreddit as a discourse site for the DeepSeek generative AI model.

    Techniques:

    Word-cloud analysis of social media activity. (A) Word cloud of the most frequent terms extracted from posts. (B) Word cloud of the most frequent terms extracted from comments. Prominent recurring terms such as deepseek, model, use, and China reveal dominant themes and key areas of discussion across both posts and comment.

    Journal: Frontiers in Artificial Intelligence

    Article Title: Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

    doi: 10.3389/frai.2025.1703949

    Figure Lengend Snippet: Word-cloud analysis of social media activity. (A) Word cloud of the most frequent terms extracted from posts. (B) Word cloud of the most frequent terms extracted from comments. Prominent recurring terms such as deepseek, model, use, and China reveal dominant themes and key areas of discussion across both posts and comment.

    Article Snippet: This study examined Reddit’s r/deepseek subreddit as a discourse site for the DeepSeek generative AI model.

    Techniques: Activity Assay

    Heatmaps depicting the correlation of sentiment and emotion across topics in Reddit discussions about DeepSeek. (A) Proportion of negative, neutral, positive sentiment per topic. (B) Proportion of six basic emotions (anger, disgust, fear, joy, sadness, surprise) per topic. Darker shading indicates higher relative frequency within each sentiment or emotion category.

    Journal: Frontiers in Artificial Intelligence

    Article Title: Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

    doi: 10.3389/frai.2025.1703949

    Figure Lengend Snippet: Heatmaps depicting the correlation of sentiment and emotion across topics in Reddit discussions about DeepSeek. (A) Proportion of negative, neutral, positive sentiment per topic. (B) Proportion of six basic emotions (anger, disgust, fear, joy, sadness, surprise) per topic. Darker shading indicates higher relative frequency within each sentiment or emotion category.

    Article Snippet: This study examined Reddit’s r/deepseek subreddit as a discourse site for the DeepSeek generative AI model.

    Techniques:

    Network analysis of the authors of the posts and comments of the r/deepseek subreddit clustered based on the topics. (A) Network of the authors for Topic-1: Open Source AI models. (B) Network of the authors for Topic-2: DeepSeek chat usage. (C) Network of the authors for Topic-3: email accounts and services. (D) Network of the authors for Topic-4: android phones and mobile web.

    Journal: Frontiers in Artificial Intelligence

    Article Title: Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

    doi: 10.3389/frai.2025.1703949

    Figure Lengend Snippet: Network analysis of the authors of the posts and comments of the r/deepseek subreddit clustered based on the topics. (A) Network of the authors for Topic-1: Open Source AI models. (B) Network of the authors for Topic-2: DeepSeek chat usage. (C) Network of the authors for Topic-3: email accounts and services. (D) Network of the authors for Topic-4: android phones and mobile web.

    Article Snippet: This study examined Reddit’s r/deepseek subreddit as a discourse site for the DeepSeek generative AI model.

    Techniques: