Sentiment analysis is the channel to pick out the text from the social media dataset to inquire about the positive and negative opinions of the statement and its subjective and objectiveness. The purpose of the study is to manifest the sentiment of the text posted in five Hindi news channels, that is, AajTak, ABP News, India TV, NDTV India and Republic Bharat on YouTube are investigated by adopting the Mozdeh software to highlight the sequential temperament of the viewers by evaluating the positive and negative sentiments. The present study is subsequently limited to the data being extracted and evaluated by the software Mozdeh. The sentiments of each Hindi news channel are analysed along with the top word frequencies and displaying the time-series graph. The investigation presents that the channel with maximum average positive average negative sentiment belongs to India TV and the female category was in the peak compared to male altogether but the unidentified gender was the highest. During the time series analysis, the year 2020 was seen to be the most productive year since all the spikes were precisely detected. The audience of these channels turns out to be more attentive towards the political and entertainment news world. The study also highlights the tendency and interest of the common audiences to watch the news which dedicates that people are usually unsatisfied with the content being displayed in the videos and the common concentration is mostly based on the political news.

情感分析是从社交媒体数据集中挑选文本的渠道，以查询该陈述的正面和负面意见及其主客观。该研究的目的是通过采用 Mozdeh 软件对在 YouTube 上的 AajTak、ABP News、India TV、NDTV India 和 Republic Bharat 五个印地语新闻频道中发布的文本的情绪进行表现，以突出顺序气质通过评估正面和负面情绪来评估观众的意见。本研究随后仅限于由软件 Mozdeh 提取和评估的数据。分析每个印地语新闻频道的情绪以及热门词频并显示时间序列图。调查显示，平均正面平均负面情绪最高的频道属于印度电视，女性类别与男性相比处于最高水平，但性别不明的类别最高。在时间序列分析中，2020 年被认为是最高效的一年，因为所有峰值都被精确检测到。事实证明，这些频道的观众更关注政治和娱乐新闻界。该研究还突出了普通观众观看新闻的倾向和兴趣，这表明人们通常对视频中显示的内容不满意，而共同的注意力主要集中在政治新闻上。