<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In legal practice litigation cases, the selection of a litigation strategy significantly impacts both the litigation process and the overall outcome of the case. The study mainly applies quantitative methods to evaluate the effectiveness of legal strategies for litigation. We collect relevant legal strategy texts after analyzing relevant civil litigation cases in China. We then use text mining methods, such as regular expressions, jieba participles, and Word2Vec training word vectors, to refine high-frequency words in text data related to litigation legal strategies. This process establishes a quantitative evaluation index system for assessing the effectiveness of litigation legal strategies. We select litigation legal strategy cases as the evaluation object, utilizing the PMC index to determine and evaluate the effectiveness of each strategy. The sample litigation legal strategies have a mean PMC index of 6.69, indicating a good overall level. Only one strategy is considered acceptable, with the remaining 87.5% rated as good. Deficient litigation solutions and thought paths, with a mean value below 0.8, hinder the effectiveness of litigation legal strategies. We recommend optimizing and improving them to enhance their effectiveness.</p>
</abstract>

In legal practice litigation cases, the selection of a litigation strategy significantly impacts both the litigation process and the overall outcome of the case. The study mainly applies quantitative methods to evaluate the effectiveness of legal strategies for litigation. We collect relevant legal strategy texts after analyzing relevant civil litigation cases in China. We then use text mining methods, such as regular expressions, jieba participles, and Word2Vec training word vectors, to refine high-frequency words in text data related to litigation legal strategies. This process establishes a quantitative evaluation index system for assessing the effectiveness of litigation legal strategies. We select litigation legal strategy cases as the evaluation object, utilizing the PMC index to determine and evaluate the effectiveness of each strategy. The sample litigation legal strategies have a mean PMC index of 6.69, indicating a good overall level. Only one strategy is considered acceptable, with the remaining 87.5% rated as good. Deficient litigation solutions and thought paths, with a mean value below 0.8, hinder the effectiveness of litigation legal strategies. We recommend optimizing and improving them to enhance their effectiveness.

The Application of Quantitative Methods in Assessing the Effectiveness of Litigation Legal Strategies - An Example of the Case Study Approach

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In legal practice litigation cases, the selection of a litigation strategy significantly impacts both the litigation process and the overall outcome of the...

The Application of Quantitative Methods in Assessing the Effectiveness of Litigation Legal Strategies - An Example of the Case Study Approach

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 08. Apr. 2024

Akzeptiert: 07. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-2107

Schlüsselwörter
Quantitative methods, Word2Vec, Text mining, PMC index, Litigation legal strategy

© 2024 Wei Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Application of Quantitative Methods in Assessing the Effectiveness of Litigation Legal Strategies - An Example of the Case Study Approach

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 08. Apr. 2024

Akzeptiert: 07. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-2107

SchlüsselwörterQuantitative methods, Word2Vec, Text mining, PMC index, Litigation legal strategy

© 2024 Wei Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Quantitative methods, Word2Vec, Text mining, PMC index, Litigation legal strategy