Set up the way you select, replace, and format words and paragraphs.Ĭhoose how you want to paste content and formatting within the same document or between different documents and apps.Īpply image size and quality settings for an open document or for all new documents.Īllow custom formatting and labels to stay with data points, even if the chart changes.Ĭhoose formatting, text, and image options.Ĭhoose a measurement format, show scrolling bars, and select the number of documents shown in the Recent Documents list. This search will find any threads that are between the dates above.To choose your advanced Word options, select File > Options, and on the left pane, select Advanced. This search will find any threads with tags that contain either 'azure' or 'directory'. Field searches can also accept phrases in addition to single words but the phrase will be required to match exactly.

So in this example, only threads having “search” in the title field and not have 'elastic' in the body field will be returned as matches. This search is similar to the must/must not have search above in every way except we are restricting matches to a particular field. In this example only threads containing the exact phrase “azure search is great” and not containing the exact phrase “search does not work” will be matched. This is the same as the must/must not have term search except it matches on the entire phrase in quotes. Must/Must Not Have Phrase SearchĮxammple: +”azure search is great” –“search does not work” In this example, the search will return matches only if they contain the term “microsoft” and do not contain the term “search”. When more than one must/must not have term is used, it is interpreted as a logical AND. Likewise if you want to exclude a term from matches use a “-“. If you want to require a term to be in a matching thread, you can put a “+” immediately before the word. Also capitalization of words is ignored when matching here.

It is possible that a thread that does not contain all or even most of the terms still scores as most relevant because it has many hits on a single term. The threads with the highest scores are then returned as most relevant. Each time a word is found, the score for that thread goes up. This is a basic “should have” search where the frequency of each word is counted in each thread. Example: Microsoft search should have terms

Microsoft word advanced find