论文标题
部分可观测时空混沌系统的无模型预测
Social Media Personal Event Notifier Using NLP and Machine Learning
论文作者
论文摘要
社交媒体应用程序在日常生活中变得非常有前途和无所不在。大多数社交媒体应用程序用于向附近和遥远的人提供重要信息。随着我们的生活变得越来越忙，我们许多人努力限制社交媒体应用程序的使用，因为它们过于上瘾，而且我们大多数人都全神贯注于日常生活。因此，我们经常忽略关键信息，例如邀请婚礼，面试，生日聚会等，或发现自己无法参加活动。在大多数情况下，发生这种情况是因为用户更有可能仅在活动之前发现邀请或信息，从而给他们几乎没有时间准备。为了解决这个问题，在本研究中，我们创建了一个系统，该系统将收集社交媒体聊天并使用自然语言处理（NLP）方法进行过滤，例如令牌化，停止单词删除，窃听，分割，细分和命名实体识别（NER）。此外，实施了机器学习算法，例如K-Nearest邻居（KNN）算法，以优先考虑收到的邀请并对优先级进行排序。最后，定制通知将交付给他们确认即将举行的活动的用户。因此，缺少活动的机会较少或可以计划。
Social media apps have become very promising and omnipresent in daily life. Most social media apps are used to deliver vital information to those nearby and far away. As our lives become more hectic, many of us strive to limit our usage of social media apps because they are too addictive, and the majority of us have gotten preoccupied with our daily lives. Because of this, we frequently overlook crucial information, such as invitations to weddings, interviews, birthday parties, etc., or find ourselves unable to attend the event. In most cases, this happens because users are more likely to discover the invitation or information only before the event, giving them little time to prepare. To solve this issue, in this study, we created a system that will collect social media chat and filter it using Natural Language Processing (NLP) methods like Tokenization, Stop Words Removal, Lemmatization, Segmentation, and Named Entity Recognition (NER). Also, Machine Learning Algorithms such as K-Nearest Neighbor (KNN) Algorithm are implemented to prioritize the received invitation and to sort the level of priority. Finally, a customized notification will be delivered to the users where they acknowledge the upcoming event. So, the chances of missing the event are less or can be planned.
