Social networking services, such as Facebook, Google+, and Twitter are commonly used to share relevant Web documents with a peer group. By sharing a document with her peers, a user recommends the content for others and annotates it with a short description text. This short description yield many chances for text summarization and categorization. Because today’s social networking platforms are r...

Twitter, one of the biggest and most popular microblogging Websites, has evolved into a powerful communication platform which allows millions of active users to generate huge volume of microposts and queries on a daily basis. To accommodate effective categorization and easy search, users are allowed to make use of hashtags, keywords or phrases prefixed by hash character, to categorize and summa...

We describe a convolutional neural network that learns feature representations for short textual posts using hashtags as a supervised signal. The proposed approach is trained on up to 5.5 billion words predicting 100,000 possible hashtags. As well as strong performance on the hashtag prediction task itself, we show that its learned representation of text (ignoring the hashtag labels) is useful ...

Hashtag recommendation aims to suggest hashtags users annotate and describe the key information in text, or categorize their posts. In recent years, several hashtag methods are proposed developed speed up processing of texts quickly find out critical phrases. The use different approaches techniques obtain from a large amount data. This paper investigates efficiency unsupervised keyword extracti...

We present an initial study examining the benefits of incorporating readability indicators in social network-related tasks. In order to do so, we introduce TweetRead, a readability assessment tool specifically designed for Twitter and use it to inform the hashtag prediction process, highlighting the importance of a readability signal in recommendation tasks.

Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations Twitter Sina Weibo, a systematic review these is lacking. The objectives this study are present comprehensive overview research on for tweets insights from previous paper...