A method, system and computer program product for improving the quality of the posts in a social network. A topic of a post to a social network environment is identified using natural language processing. The tense of the post directed to the identified topic is detected using natural language processing. The post is transformed to a suggested post of a second tense directed to the same topic to the user using natural language processing. A suggested message to be posted by the user to the social network in a third tense (e.g., past tense) based on the posts directed to the identified topic in the first and second tenses (e.g., future and present tenses) is generated using natural language processing thereby forming a past/present/future pairing of posts. By forming a past/present/future pairing of posts, a more complete and understandable view of the user's personal history may be obtained.