Over the years, a variety of methods have been used in order toestimate policy positions for political parties in national parliaments. This papersets out to apply a novel computational method called Wordfish and apply it to aheavily under-researched form of political text, parliamentary speeches.Quantitative studies of this sort are even more rare the case in Sweden in whichquantitative studies on parliamentary speeches is close to non-existent. In anattempt to contribute to fill the gap in literature this study uses scaling techniqueusing word frequencies and to estimate positions of 4 Swedish political partiesalong two dimensions in political space. By observing the estimated movement bythese 4 parties over a 20-year time period one can draw conclusions of theSwedish political space and how it has shifted over time. One can also evaluatethe chosen method on this specific research material, a combination that has notbeen seen before. The results suggest that there is fine tuning that needs to bedone when using Wordfish considering the output was not in line with conventionalwisdom and previous research. The studied did show interesting movementtowards the authoritarian extreme by the two largest parties in Swedish nationalpolitics.

隨著資訊技術的進步，各種史料文本的數位化工作已經處理完成，運用資訊技術於史料文本分析的研究日益增加。本研究以詞頻分析與社會網路分析為主軸，對於古代《易經》爻辭的文字進行多元化的觀察，本研究首先以詞頻分析探討《易經》爻辭字詞頻率的觀察，再利用《易經》爻辭位置資訊建構成各個社會網路結構，對每個社會網路結構運算各項社會網路指標數據，最後將實驗結果與過往《易經》爻辭的論點做印證與對照，期望對於《易經》爻辭之分析，有更多元性的客觀研究觀察。本研究提供了一個分析《易經》爻辭的新面向，也可供未來研究者對於其他古文研究作參考。 / With advances in information technology, digitization of various historical text has been completed.The study of historical text analysis by using information technology is in-creasing daily.In this paper, we used word frequency analysis and social network analy-sis in the I-Ching line statements.First, we used word frequency analysis in I-Ching line statements,using N-gram and TF-IDF technique analysis word frequency.Second, we constructed social network structure by I-Ching line statements position infor-mation,calculating several social network analysis indicator on each network.We com-pared our experiment results with some existing I-Ching theory, expecting to get more objective results and more diverse analysis for the I-Ching line statements. We not only provided a new perspective to study I-Ching line statements but also expected to help other researchers to study different historical text.