3 |
Frequency norms in Tashlhiyt, Part I
|
|
|
|
In: https://halshs.archives-ouvertes.fr/halshs-03511109 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
4 |
Hippocampal and auditory contributions to speech segmentation
|
|
|
|
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03604957 ; Cortex, Elsevier, 2022, ⟨10.1016/j.cortex.2022.01.017⟩ (2022)
|
|
BASE
|
|
Show details
|
|
6 |
Can Homophone Interference Occur in Translation Equivalents of L1 Activated by L2 ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Intoxication and pitch control in tonal and non-tonal language speakers ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Just-Noticeable Differences of Fundamental Frequency Change in Mandarin-Speaking Children with Cochlear Implants
|
|
|
|
In: Brain Sciences; Volume 12; Issue 4; Pages: 443 (2022)
|
|
BASE
|
|
Show details
|
|
16 |
How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures
|
|
|
|
In: Sustainability; Volume 14; Issue 5; Pages: 2675 (2022)
|
|
Abstract:
Service failure is inevitable. Although empirical studies on the outcomes and processes of service failures have been conducted in the hotel industry, the findings need more exploration to understand how different segments perceive service failures and the associated emotions differently. This approach enables hotel managers to develop more effective strategies to prevent service failures and implement more specific service-recovery actions. For analysis, we obtained a nine-year (2010–2018) longitudinal dataset containing 1224 valid respondents with 73,622 words of textual content from a property affiliated with an international hotel brand in Canada. A series of text-mining and natural language processing (NLP) analyses, including frequency analysis and word cloud, sentiment analysis, word correlation, and TF–IDF analysis, were conducted to explore the information hidden in the massive amount of unstructured text data. The results revealed the similarities and differences between groups (i.e., men vs. women and leisure vs. business) in reporting service failures. We also carefully examined different meanings of words that emerged from the text-mining results to ensure a more comprehensive understanding of the guest experience.
|
|
Keyword:
gender; group difference; purpose of stay; sentiment analysis; service failure; text-mining approach; TF–IDF analysis; word correlation; word frequency analysis
|
|
URL: https://doi.org/10.3390/su14052675
|
|
BASE
|
|
Hide details
|
|
17 |
Are We Indeed So Illuded? Recency and Frequency Illusions in Dutch Prescriptivism
|
|
|
|
In: Languages; Volume 7; Issue 1; Pages: 42 (2022)
|
|
BASE
|
|
Show details
|
|
18 |
Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora
|
|
|
|
In: Entropy; Volume 24; Issue 2; Pages: 280 (2022)
|
|
BASE
|
|
Show details
|
|
19 |
Paradigmatic Uniformity: Evidence from Heritage Speakers of Spanish
|
|
|
|
In: Languages; Volume 7; Issue 1; Pages: 14 (2022)
|
|
BASE
|
|
Show details
|
|
20 |
The Radical Unacceptability Hypothesis: Accounting for Unacceptability without Universal Constraints
|
|
|
|
In: Languages; Volume 7; Issue 2; Pages: 96 (2022)
|
|
BASE
|
|
Show details
|
|
|
|