Sentiment and Toxicity Analysis of Digital Content Using Perspective, Vader, and TextBlob: Tourism and Birdwatching
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Yerik Afrianto Singgalen

Sentiment and Toxicity Analysis of Digital Content Using Perspective, Vader, and TextBlob: Tourism and Birdwatching

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Introduction

Sentiment and toxicity analysis of digital content using perspective, vader, and textblob: tourism and birdwatching. Analyze sentiment & toxicity in birdwatching tourism digital content using Perspective, Vader, TextBlob. Reveals negative interactions & positive community, crucial for environmental awareness & growth.

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Abstract

This research investigates the impact of digital content on specialized tourism activities, focusing on birdwatching, using tools such as Communalytic and RapidMiner. By analyzing 1,021 posts, the study reveals an average toxicity score of 0.13839, with VADER identifying 32.78% negative sentiment and TextBlob identifying 17.07% negative sentiment. Despite these negative interactions, over 50% of the posts convey positive sentiment, highlighting the potential for digital content to foster a supportive and engaging community. The findings underscore the urgent need to address toxicity to maintain a positive online environment, crucial for enhancing educational outreach and participant engagement. This research emphasizes the critical and immediate role of digital platforms, analyzed through Communalytic and RapidMiner, in promoting environmental awareness and conservation, thereby driving the growth and sustainability of niche tourism sectors such as birdwatching. Prompt action is essential to leverage these insights to benefit the environment and local economies.


Review

This research presents a timely and pertinent analysis of sentiment and toxicity within digital content related to specialized tourism, specifically birdwatching. Employing a multi-faceted methodological approach leveraging Perspective, VADER, and TextBlob for sentiment analysis, and Communalytic alongside RapidMiner for data processing, the study examined 1,021 posts. The findings reveal a complex online landscape characterized by a predominant positive sentiment (over 50% of posts) yet also significant levels of negative interaction, indicated by an average toxicity score of 0.13839 and varying negative sentiment percentages from VADER (32.78%) and TextBlob (17.07%). The paper effectively highlights the dual potential of digital platforms to both foster supportive communities and necessitate urgent intervention to mitigate negativity. A significant strength of this study lies in its innovative application of multiple analytical tools to a niche but growing area of tourism. The comparative use of VADER and TextBlob, in conjunction with Perspective for toxicity, provides a robust and triangulated view of online discourse, which is more comprehensive than single-tool approaches. Furthermore, the research effectively articulates the critical role of digital platforms not only in community building for specialized interests but also in promoting broader environmental awareness and conservation efforts. The clear call for "prompt action" underscores the practical relevance of the findings, offering valuable insights for stakeholders aiming to enhance participant engagement, support local economies, and ensure the sustainability of niche tourism sectors like birdwatching. While the abstract offers a compelling overview, it leaves several questions that would ideally be addressed in the full paper. A key omission is the specific source of the 1,021 analyzed posts (e.g., social media platforms, dedicated forums), which is crucial for contextualizing the findings and assessing their generalizability. Greater detail on the integration of the various tools and a discussion of the observed discrepancies in negative sentiment between VADER and TextBlob would also enhance the methodological clarity. For instance, explaining the scale and interpretation of the average toxicity score (0.13839) would provide readers with a clearer understanding of its significance. Future research could further delve into the specific *types* of toxic content, their impact on community dynamics, or platform-specific mitigation strategies, building on the valuable foundation established by this investigation.


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