Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition

Twitter Accounts Suggestion is concerned with recommending accounts for the users according to their tweet contents. Twitter contains a massive amount of data that can be useful for knowing each user’s preferences. This paper uses Named Entity Recognition (NER), one of the techniques used in Natural Language Processing (NLP). We propose a pipeline technique to analyze the textual content of tweets to recommend the proper user accounts (people or organizations) to facilitate mentioning other user accounts in the tweets.