Embedded Files
分析模式: 選項1.數值分析，輸入檔案為數值型態，可以為.csv檔案、.json檔案、.log檔案、.txt檔案、.jsonl檔案，需要至少兩個數值欄位進行分析，並執行K-Means、DBSCAN、SVM、Decision Tree、Random Forest，最後並提供PCA 降維資料分布圖
Analysis Mode: Option 1. Numerical Analysis. The input file is in numerical format, which can be a .csv file, .json file, .log file, .txt file, or .jsonl file. At least two numerical fields are required for analysis. The analysis will perform K-Means, DBSCAN, SVM, Decision Tree, and Random Forest operations, and finally provide a PCA dimensionality reduction data distribution plot.
分析模式: 選項2.英文關鍵字分析，輸入檔案為數值型態，可以為.pdf檔案、.json檔案、.log檔案、.txt檔案、.csv檔案，需要至少兩份以上的文件進行分析，透過使用者提供"停用詞彙資料檔案"，排除停用詞彙後，將分析出的關鍵詞執行K-Means、DBSCAN、SVM、Decision Tree、Random Forest，最後並提供PCA 降維資料分布圖
Analysis Mode: Option 2. English Article Analysis. Input files are in numerical format and can be .pdf, .json, .log, .txt, or .csv files. At least two files are required for analysis. Using a user-provided "stop word data file," after excluding stop words, the analyzed keywords are processed using K-Means, DBSCAN, SVM, Decision Tree, and Random Forest methods. Finally, a PCA dimensionality reduction data distribution plot is provided.
分析模式: 選項3.中文關鍵字分析，輸入檔案為數值型態，可以為.pdf檔案、.json檔案、.log檔案、.txt檔案、.csv檔案，需要至少兩份以上的文件進行分析，透過使用者提供"停用詞彙資料檔案"，排除停用詞彙後，將分析出的關鍵詞執行K-Means、DBSCAN、SVM、Decision Tree、Random Forest，最後並提供PCA 降維資料分布圖。中文詞會使用jieba做詞彙斷詞
Analysis Mode: Option 3. Chinese Article Analysis. Input files are in numerical format and can be .pdf, .json, .log, .txt, or .csv files. At least two files are required for analysis. Using a user-provided "stop word data file," after excluding stop words, the analyzed keywords are processed using K-Means, DBSCAN, SVM, Decision Tree, and Random Forest. Finally, a PCA dimensionality reduction data distribution plot is provided. Chinese words are segmented using jieba.
分析模式:選項4.精準文字段落搜尋，輸入檔案為數值型態，可以為.pdf檔案、.json檔案、.log檔案、.txt檔案、.csv檔案，透過使用者提供"特定詞彙A、B，以及所預先給定之字元長度"條件，於文章中找出特定詞彙以及所連結之文字段落，以精準搜尋所需要之資訊
Analysis Mode: Option 4. Precision Article Section Search. The input file is in numerical format and can be a .pdf, .json, .log, .txt, or .csv file. Users provide specific words A and B, along with a pre-defined character length, to find those words and their associated text paragraphs within the document, thus precisely searching for the desired information.
請選擇要上傳的檔案（可多選）：
Please select the files you wish to upload (multiple selections are allowed):
請選擇要上傳的停用詞彙資料檔案：
Please select the stop word data file you wish to upload:
停用詞彙資料檔案格式為每一橫列為一筆停用詞彙
The format of the stop word data file is that each row represents one stop word.
請選擇要做為搜尋詞彙的資料檔案：
Please select the file you want to use as the search term:
搜尋詞彙的資料檔案格式為 關鍵詞彙A-關鍵詞彙B-字元長度C (例如: Word-Vocabulary-25)，B可以為空白(例如: Word- -25)，將會搜尋關鍵詞彙A與B出現在字元長度C數值內之 往前往後字元長度數值C 所涵蓋的文字段落內容。
The data file format for searching keywords is Keyword A-Keyword B-Character Length C (e.g., Word-Vocabulary-25), where B can be blank (e.g., Word- -25). It will search for text paragraphs containing character lengths C before and after keywords A and B that appear within the character length C value.
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