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Customer reviews are one important source that contains valuable information for quality evaluation of products or services. Review sentences contain sentiment words that show whether a user’s opinion is positive or negative. When review sentence has mix opinions, having sentiment words of both polarities, it is difficult to conclude whether it is positive or negative opinion. The purpose of this study is to improve the detection of polarity in such situation.

In this research, methods such as part-of-speech tagging, polarity analysis and rules selection are used to identify the polarity. A set of rules called contrast and conditional polarity rules (CCPR) has been created to improve the polarity detection in cases when there is mixture of sentiment words used in contrast and conditional type of review sentences. The experiment is conducted with data sets from three domains, i.e. restaurant, electronic and Tripadvisor.

The experimental result confirms that CCPR rules have higher baseline of the polarity aggression. In restaurant domain, CCPR rules (62.07%) have increased 13.79% compared with the Pol_Agg_MPQA baseline (48.28%) and 13.79% compared with Pol_Agg_Senti baseline (48.28%). In electronic domain, CCPR rule (79.17%) is higher by 12.50% compared with the Pol_Agg_MPQA baseline (66.67%) and 16.67% compared with Pol_Agg_Senti baseline (62.50%). Another one, CCPR rule (70.83%) is higher by 8.33% compared with the Pol_Agg_MPQA baseline (62.50%) and 12.50% compared with Pol_Agg_Senti baseline (58.33%). In conclusion, result of experiment shows promising outcome with improvement in detecting the positivity and negativity of indirect sentence, especially for the case of sentence with indirect polarity.

To address the problem of mix opinions in terms of polarities, this paper presents a rule-based approach to improve the result of identifying positivity and negativity in sentence with indirect polarities.

The purpose of this paper is to initially perform Senti-WordNet (SWN)- and point wise mutual information (PMI)-based polarity computation and based polarity updation. When the SWN polarity and polarity mismatched, the vote flipping algorithm (VFA) is employed.

Recently, in domains like social media(SM), healthcare, hotel, car, product data, etc., research on sentiment analysis (SA) has massively increased. In addition, there is no approach for analyzing the positive or negative orientations of every single aspect in a document (a tweet, a review, as well as a piece of news, among others). For SA as well as polarity classification, several researchers have used SWN as a lexical resource. Nevertheless, these lexicons show lower-level performance for sentiment classification (SC) than domain-specific lexicons (DSL). Likewise, in some scenarios, the same term is utilized differently between domain and general knowledge lexicons. While concerning different domains, most words have one sentiment class in SWN, and in the annotated data set, their occurrence signifies a strong inclination with the other sentiment class. Hence, this paper chiefly concentrates on the drawbacks of adapting domain-dependent sentiment lexicon (DDSL) from a collection of labeled user reviews and domain-independent lexicon (DIL) for proposing a framework centered on the information theory that could predict the correct polarity of the words (positive, neutral and negative). The proposed work initially performs SWN- and PMI-based polarity computation and based polarity updation. When the SWN polarity and polarity mismatched, the vote flipping algorithm (VFA) is employed. Finally, the predicted polarity is inputted to the mtf-idf-based SVM-NN classifier for the SC of reviews. The outcomes are examined and contrasted to the other existing techniques to verify that the proposed work has predicted the class of the reviews more effectually for different datasets.

There is no approach for analyzing the positive or negative orientations of every single aspect in a document (a tweet, a review, as well as a piece of news, among others). For SA as well as polarity classification, several researchers have used SWN as a lexical resource. Nevertheless, these lexicons show lower-level performance for sentiment classification (SC) than domain-specific lexicons (DSL). Likewise, in some scenarios, the same term is utilized differently between domain and general knowledge lexicons. While concerning different domains, most words have one sentiment class in SWN, and in the annotated data set their occurrence signifies a strong inclination with the other sentiment class.

The proposed work initially performs SWN- and PMI-based polarity computation, and based polarity updation. When the SWN polarity and polarity mismatched, the vote flipping algorithm (VFA) is employed.

Optimization of response parameter is essential in any process .The purpose of this paper is to focus at achieving the optimized parameter for submerged arc welding to furnish the quality welds at direct current electrode positive (DCEP) polarity and direct current electrode negative (DCEN) polarity.

This paper achieves the parameter after extensive trial runs and finally parameters are optimized to acquire the cost effective and quality welds in submerged arc welding using the response surface methodology.

Apart from effect of parameters on weld bead geometry has been identified but optimized parameters has also been achieved for submerged arc welding process for DCEP and DCEN polarities.

As this study is related to practical work it may be useful for any relevant application.

The process parameters used in this experimental work will be basis for job work/industry for submerged arc welding.

This paper identifies the effect of polarity in submerged arc welding.

This paper aims to improve a sentiment analysis (SA) system to help users (i.e. customers or hotel managers) understand hotel evaluations. There are three main purposes in this paper: designing an unsupervised method for extracting online Chinese features and opinion pairs, distinguishing different intensities of polarity in opinion words and examining the changes in polarity in the time series.

In this paper, a review analysis system is proposed to automatically capture feature opinions experienced by other tourists presented in the review documents. In the system, a feature-level SA is designed to determine the polarity of these features. Moreover, an unsupervised method using a part-of-speech pattern clarification query and multi-lexicons SA to summarize all Chinese reviews is adopted.

The authors expect this method to help travellers search for what they want and make decisions more efficiently. The experimental results show the F-measure of the proposed method to be 0.628. It thus outperforms the methods used in previous studies.

The study is useful for travellers who want to quickly retrieve and summarize helpful information from the pool of messy hotel reviews. Meanwhile, the system will assist hotel managers to comprehensively understand service qualities with which guests are satisfied or dissatisfied.

This paper aims to propose an effective method to verify poles polarities of switched reluctance motors (SRMs). Different from the ways of detection poles polarities by permanent magnet in SRMs, the difference of self-inductance between different winding connections is used to verify the pole polarity.

First, the winding connections with the forward and reverse series are proposed. The magnetic circuit models are established to analyze the flux linkage of different winding connections. Then, according to the difference of inductance characteristics, including the self-inductance and the mutual inductance affected by the adjacent poles, it is theoretically feasible to verify the polarity of each pole. Finally, the proposed method is verified by the simulation and experiment on a six-phase SRM.

First, compared to the reverse series, the forward series can produce larger self-inductance when one phase is excited at the same current excitation, which can be used to verify the poles polarities of one phase with different winding connection. Second, the mutual inductance can be used to distinguish the winding connections. Third, the difference of the maximum self-inductance of the winding, which is composed of two adjacent windings, can be used to verify the polarities of the adjacent poles.

This paper proposes an effective method to verify poles polarities of SRMs.

The purpose of this paper is to handle the anaphors through anaphora resolution in aspect-oriented sentiment analysis. Sentiment analysis is one of the predictive analytics of social media. In particular, the social media platform Twitter is an open platform to post the opinion by subscribers on contextual issues, events, products, individuals and organizations.

The sentiment polarity assessment is not deterministic to conclude the opinion of the target audience unless the polarity is assessed under diversified aspects. Hence, the aspect-oriented sentiment polarity assessment is a crucial objective of the opinion assessment over social media. However, the aspect-oriented sentiment polarity assessment often influences by the curse of anaphora resolution.

Focusing on these limitations, a scale to estimate the aspects oriented sentiment polarity under anaphors influence has been portrayed in this article. To assess the aspect-based sentiment polarity of the tweets, the anaphors of the tweets have been considered to assess the weightage of the tweets toward the sentiment polarity.

The experimental study presents the performance of the proposed model by comparing it with the contemporary models, which are estimating the sentiment polarity tweets under anaphors impact.

The purpose of this study is to review literature relevant to leader transition and the navigation of polarities, paradoxes, and dilemmas that exist in organizations. Furthermore, the researchers aim to critique the literature and provide suggestions for practitioners and researchers interested in leader transition through the lens of polarity, paradox, and dilemma.

The authors conducted an extensive review of the literature for this study. They searched the following databases: ABI/INFORM, Academic Search Premier, Business Source Premier, PsychInfo, and Dissertations Abstracts. To conduct their search, the researchers used the terms; leader, manager, and supervisor in conjunction with the terms transitions, adaptation, socialization, assimilation, polarity, paradox, dilemma, polarity thinking, polarity management, leadership, team, organization, conflict management, creativity, and combinations of the same.

There is very little research conducted on either topic independently and no research conducted on both collectively. The literature on leader transitions also states that transitions are times of uncertainty and stress. The findings suggest that some of this uncertainty and stress could result from the inability to recognize and manage polarity, paradox, and dilemma. Furthermore, the literature does not acknowledge this connection nor does it specify the polarities that exist for leaders in general or leaders in transition.

Based on personal experiences working with organizational leaders and training and organization development professionals, the authors believe that there is great potential to help train new leaders on polarity thinking. If training and development professionals see value in polarity thinking for transitioning leaders and can respond with timely training interventions, it could have a positive impact on new leader effectiveness and subsequent organization performance.

Online reviews presented in the format of multimedia information, such as pictures and videos, continue to emerge, but whether the richness of multimedia information can enforce the quality of online reviews has remained uncertain. The purpose of this paper is to examine the differences in the perceived information quality of online reviews, based on the information richness theory, emotional polarity and product type.

This is a Web-based experiment in which 12 groups constructed at different levels of these three factors were designed for the purpose of obtaining data.

The study results show that under different positive and negative emotional polarities, different information richness and product types have different effects on perceived information quality; for different product types, positive and negative emotional polarity have different effects on perceived information quality. For “search” products, the perceived information quality of online reviews with low information richness is high; under different information richness, different emotional polarity and product types have different effects on perceived information quality.

This paper has important practical significance for the management of e-commerce platforms for online reviews.

This paper on the perceived information quality of online reviews puts more focus on the formal features of online reviews and aims to discover the relationships between different directions for perceived information quality under the impact of interaction of formats, emotional polarity and product type. The study hopes to further strengthen the application of the information richness theory in the field of online reviews research and to measure perceived information quality from a variety of aspects.

This paper aims to show how polarity coaching can foster meaningful change among executive clients through sponsoring a deeper understanding and acceptance of interdependent opposites.

The study explores what is required from the coach and the coaching relationship and how clients can be supported in overcoming polarity traps. A social constructionist and sense‐making approach to coaching is followed and the paper draws on relevant literature from the fields of psychotherapy, coaching, and dialogical change.

It is shown that before engaging in polarity coaching it is important for coaches to become aware of the polarity tensions that are prevalent in their own work and to explore their personal preferences when facing these tensions. A coach who is able to hold interdependent opposites with ease in the coaching encounter will allow clients to experience transformation on a deeper level.

The core of the paper is the polarity‐coaching model, which describes how coaches can guide their clients through a process of discovering polarized thinking, pole exploration, and boundary softening for becoming more comfortable with interdependent opposites. The paper will be of interest to those in the field of coaching executives.

This manuscript explores the value of mission statement emotional content in the relationship between money raised by a nonprofit organization through fundraising efforts and the money spent. It proposes the emotional content of a mission statement moderates money spent and earned to ultimately to impact how much revenue a nonprofit makes through fundraising.

The manuscript evaluates the qualitative turned quantitative data (via text mining [TM]) in mission statements from 200 nonprofits serving the homeless sector via a moderation analysis. After segmenting the sampled nonprofits by gross revenue, the authors analyze the impact of the positive and negative emotional tone in each group to determine how the content of a mission statement impacts organizational revenue.

The paper provides empirical insights about how the emotional polarity of a mission statement influences money earned through fundraising. However, the positive and negative tone of a mission statement impacts organizations differently based on size. For nonprofits that report an annual revenue of less than $1 million, a positive tone in the mission statement results in higher revenue. Conversely, nonprofits that report over $1 million earn less revenue with a positive tone in their mission statement.

Owing to the specialized group sampled, the findings possibly only apply to the sampled group. Therefore, researchers are encouraged to test the relationships found in other areas of nonprofits. However, the implications of mission statement polarity influencing financial performance in any population should be of keen interest to practitioners when crafting mission statements.

The finding that mission statement emotional tone influences the financial performance of a nonprofit has direct implications for the effective delivery of services in the nonprofit realm. Leaders of nonprofits can use the study’s findings to position their organizations to capture potential needed revenue in the crafting of their mission statements.

This paper uniquely exposes the moderating impact of the emotional tone in mission statements in relationship with financial performance.