## 4 Results and Discussions  
RQ.1 Which Agencies of the Brazilian Public Administration Use a Jurisprudence Search System and What Are the Characteristics of These Systems? Among the 107 agencies that participated in the survey, 55 are part of the Judiciary. The Executive had 28, 14 from the Auditors' Court, 8 from the Public Ministry, and 2 from the Legislative. Concerning the classification of the sphere of the body, 66 were from the Federal Public Administration, 38 were in the provincial level, and 3 were municipal, as presented in Figure 4.  
Figure 5 presents that 42 agencies reported that they do not use a textual basis processing system, and 56 stated that they do. In addition, 44 agencies stated that the textual bases processing system was developed internally by them. Figure 5 shows that 11 agencies \begin{table}
\begin{tabular}{l l} \hline \hline
**ID** & **Question** \\ \hline Q23 & Does the textbase processing system offers the option of exporting the results (pdf, CSV, etc.)? \\ \hline Q24 & Does the textual database processing system index the contents of other agencies? \\ \hline Q25 & Does the textual processing system index various documents (PDF, Word, Excel, other)? \\ \hline Q26 & Does the textual processing system using any method to define the relevance of documents? \\ \hline Q27 & If it does, please describe the method used to define the relevance of the documents. \\ \hline Q28 & Does the textbase processing system uses a Controlled Vocabulary? \\ \hline Q29 & If the vocabulary is public, please put the link in the field below. \\ \hline Q30 & Does the textbase processing system uses an ontology? \\ \hline Q31 & If it does, please describe the ontology used. \\ \hline Q32 & Does the textbase processing system using any multimedia data extraction process? (For example, deduplication of audio and video files). \\ \hline Q33 & If a multimedia data extraction process exists, describe it. \\ \hline Q34 & Does your agency use statistical methods in the textual base processing system? \\ \hline Q35 & If yes, what methods are used? \\ \hline Q36 & Does your agency use any of these text-mining techniques in the textbase processing system? \\ \hline Q37 & Describe ”others” of the text mining techniques? \\ \hline Q38 & Does your agency use supervised machine learning techniques for text processing? \\ \hline Q39 & If used, describe the supervised machine learning technique. \\ \hline Q40 & Does your agency use unsupervised machine learning techniques for text processing? \\ \hline Q41 & If you use it, describe the unsupervised machine learning technique. \\ \hline Q42 & Is there a technique or model for extracting specific parts of documents, e.g., identification, menu, conclusion? \\ \hline Q43 & If there is, please describe the technique or model for extracting specific parts of documents. \\ \hline Q44 & Is any natural language processing (NLP) technique used in the textual base processing system? \\ \hline Q45 & If there is, please describe the NLP techniques used. \\ \hline Q46 & Is there any study/publication on the use of artificial intelligence in the agency’s textual base processing system? \\ \hline Q47 & Is there any study/publication on the use of artificial intelligence in the agency’s textual bases processing system? \\ \hline Q48 & Share the link to the study/publication or describe them. \\ \hline Q49 & What functionalities do you think a textual bases processing system should have? \\ \hline Q50 & What are your suggestions for improvements to your agency’s textbase processing system? \\ \hline Q51 & What other projects related to the use of Machine Learning, Artificial Intelligence, and Text Mining techniques are your agency \\ \hline Q52 & How can Machine Learning, Artificial Intelligence, and Text Mining techniques improve your agency’s activities? \\ \hline \hline \end{tabular}
\end{table} 
Table 1: \(Cont.\)Regarding the database used in the textual database processing system, 14 agencies reported using Apache Lucene to perform indexing and retrieval of textual data.