1. A method of refining Boolean queries, the method comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query.
1. A method of refining Boolean queries, the method comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query. 19. The method of claim 1 , comprising: before obtaining the query, obtaining the corpus, the corpus comprising more than 5000 documents; for each document in the corpus, with one or more processers: determining a respective n-gram vector, each n-gram vector comprising a plurality of values each indicating presence of a respective n-gram in text of the respective document, wherein the n-gram vectors indicate at least 500 values and correspond to at least some n-grams including three words; and determining scores indicating an amount of semantic similarity relative to the other documents in the analyzed corpus based on angles between the n-gram vector of the respective document and n-gram vectors of the other documents in the analyzed corpus; wherein presenting information about the refined responsive documents comprises presenting a force-directed graph of the responsive documents wherein at least one parameter of a physics model of the force directed graph corresponds to scores indicating the amount of semantic similarity.