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Textual emotion detection method
Sentiment analysis (also known as opinion mining) is the use of natural language processing, text analysis, computational linguistics, and biometrics to
Sentiment_analysis
Technology for sentiment analysis
Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. It
Multimodal_sentiment_analysis
Topics referred to by the same term
18th-century literary genre Market sentiment, optimism or pessimism in financial and commodity markets Sentiment analysis, automatic detection of opinions
Sentiment
Metadata tag prefixed with #
cares about sarcastic tweets? Investigating the impact of sarcasm on sentiment analysis". Proceedings of the Conference on Language Resources and Evaluation
Hashtag
General attitude of investors to market price development
investors are also known to measure market sentiment through the use of news analytics, which include sentiment analysis on textual stories about companies and
Market_sentiment
Form of human-machine interaction using multiple modes of input/output
to overcome limitations. Multimodal sentiment analysis involves analyzing text, audio, and visual data for sentiment classification. GPT-4, a multimodal
Multimodal_interaction
Processing of natural language by a computer
referred to as token classification. Sentiment analysis (see also Multimodal sentiment analysis) Sentiment analysis involves identifying and classifying
Natural_language_processing
Process of analysing text to extract information from it
taxonomies, sentiment analysis, document summarization, and entity relation modeling (i.e., learning relations between named entities). Text analysis involves
Text_mining
Trading strategy
form of analysis used by traders on the markets, other popular forms of market/trading analysis include technical analysis, sentiment analysis and fundamental
Order_flow_trading
for tasks such as natural language processing, sentiment analysis, translation, and cluster analysis. These datasets consist of sounds and sound features
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Obfuscated speech on social media
algospeak, especially with example sentences. Another study shows that sentiment analysis models often rate negative comments incorporating simple letter–number
Algospeak
Open-source workflow engine
natural language input. Content analysis: Agents are used for tasks such as document summarization, sentiment analysis, and data extraction from unstructured
Flowable
Polish online media monitoring company
notifications about negative content. It can also be used as a basis for sentiment analysis in the context of politics, including the perception of election campaigns
Brand24
Security analysis methodology
as indicators and sentiment analysis, are considered secondary. However, many technical analysts reach outside pure technical analysis, combining other
Technical_analysis
Process of visually interpreting emotions
emotion and sentiment. MELD provides conversations in video format and hence suitable for multimodal emotion recognition and sentiment analysis. MELD is
Emotion_recognition
used for business intelligence and competitive analysis of web sites, sentiment analysis, content analysis of open-ended questions, theme extraction from
WordStat
Method in natural language processing
boost the performance in NLP tasks such as syntactic parsing and sentiment analysis. In distributional semantics, a quantitative methodological approach
Word_embedding
American computer scientist and professor
Hedonometer, a tool for measuring collective mood and happiness using sentiment analysis of social media data. Danforth co-directs the Computational Story
Chris_Danforth
Chinese-American computer scientist
quiz/examinations as grading criteria. He is best known for his research on sentiment analysis (also called opinion mining), fake/deceptive opinion detection, and
Bing_Liu_(computer_scientist)
Social listening platform
Instagram, and forums) and applies artificial intelligence for text and sentiment analysis. Pulsar is offered as a cloud-based Software as a Service (SaaS) tool
Pulsar (social listening platform)
Pulsar_(social_listening_platform)
Analytics provides entity and theme extraction, topic categorization, sentiment analysis and document summarization capabilities via the embedded AUTINDEX
List_of_text_mining_software
American psychologist (1927–2006)
Interaction: His emotion model has been used in AI development to improve sentiment analysis, chatbots, and affective computing, where machines recognize and respond
Robert_Plutchik
Embedding of data within a manifold based on a similarity function
cross-modal analysis and tasks. These models enable applications like image captioning, visual question answering, and multimodal sentiment analysis. To embed
Latent_space
Process supporting machine learning
learning models can perform complex tasks such as object detection, sentiment analysis, and speech recognition with greater precision. This growing demand
Data_annotation
Summarizes customers' expectations, preferences and aversions
After analysis, the actionable insights can be applied to the product strategy and roadmap. User research Sentiment analysis ITIL Conjoint analysis "Voice
Voice_of_the_customer
Virtual online communities
media such as Facebook, X are also combined to predict elections via sentiment analysis. Additional social media (e.g. YouTube, Google Trends) can be combined
Social_media
Type of business activity
Collection and Analysis". "AI Won't Replace Research. It Will Elevate The Good, Expose The Bad". "sales forecasting". "advanced sentiment analysis". "The Power
Market_research
SaaS platform owned by Nebius Group
Toloka facilitates optical character recognition and classification, sentiment analysis, named-entity recognition, and search relevance evaluation. It also
Toloka
Range of interactions that patients have with the healthcare system
timeliness. Surveys provide large datasets for benchmarking and comparative analysis but are limited by memory bias and predefined topics. Interviews provide
Patient_experience
Research method for studying documents and communication artifacts
content analysis methods for political texts." Political analysis 21.3 (2013): 267-297. Nasukawa, Tetsuya, and Jeonghee Yi. "Sentiment analysis: Capturing
Content_analysis
Bulgarian computer scientist
previously led the organisation of a popular evaluation campaign on sentiment analysis systems as part of SemEval between the years of 2015 and 2017. He
Preslav_Nakov
Objects maximally similar to other objects in a dataset
most relevant sentences from the original text. Sentiment analysis involves determining the sentiment or emotion expressed in a piece of text, such as
Medoid
consumes. Customer experience management Natural language processing Sentiment analysis Social analytics Social Selling Text analytics Text mining Unstructured
Social_CRM
Type of data in finance
through a profound alternative data analysis, while social media sites reveal a host of data for consumer sentiment analysis. Alternative data can be accessed
Alternative_data_(finance)
businesses to judge market sentiment and make better business decisions. News analytics are usually derived through automated text analysis and applied to digital
News_analytics
Aggregate of individual attitudes or beliefs held by the adult population
Opinion plays a vital role in uncovering some critical decisions. Sentiment analysis or opinion mining is a method used to mine the thoughts or feelings
Public_opinion
Ongoing series of evaluations of computational semantic analysis systems
relations and sentiment analysis). The purpose of the SemEval and Senseval exercises is to evaluate semantic analysis systems. "Semantic Analysis" refers to
SemEval
Technique in machine learning
Natural language processing: Part-of-speech tagging Intent detection Sentiment analysis Machine translation Speech recognition Language model pre-training
Curriculum_learning
Lexalytics, Inc. provides sentiment and intent analysis to an array of companies using SaaS and cloud based technology. Salience 6, the engine behind
Lexalytics
Intelligence of machines
related to affective computing include textual sentiment analysis and, more recently, multimodal sentiment analysis, wherein AI classifies the effects displayed
Artificial_intelligence
Process of gathering and analyzing data from social media networks
Many different types of analysis can be performed with social media data, including analysis of posts, sentiment, sentiment drivers, geography, demographics
Social_media_analytics
French communication software company
intelligence to monitor and analyze sales conversations, applying sentiment analysis to identify interaction quality and performance indicators. In 2025
Ringover
Datasets on COVID-19
Retrieved 2021-02-03. Ahmad, Kashif (2021). "A Benchmark Dataset for Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Applications". Harvard
COVID-19_datasets
linguistics, to extract entities, relationships, and events; to perform sentiment analysis; to assign latitude/longitude to geographical references in text;
NetOwl
Symbols for emotional cues in text
as discourse markers. In December 2015, a sentiment analysis of emoji was published, and the Emoji Sentiment Ranking 1.0 was provided. In 2016, a musical
Emoji
enhances performance in cross-media analysis tasks such as video classification, event detection, and sentiment analysis. It also supports cross-modal retrieval
Multimodal representation learning
Multimodal_representation_learning
a platform for semantic analysis of natural language. Tip-Top Search provides results capturing individual and group sentiment, opinions, and experiences
TipTop_Technologies
Prejudice against Indian people
Anti-Indian sentiment (historically known as Hinduphobia; also referred to as anti-Indianism, Indophobia) refers to prejudice, collective hatred, and
Anti-Indian_sentiment
X-linked dominant genetic disorder
CGG repeats, Southern blot analysis, and examination of AGG trinucleotides in the FMR1 gene region. Cytogenetic analysis for fragile X syndrome was first
Fragile_X_syndrome
Intrinsic goodness or badness of an emotion, event, object, or situation
and the opposite of this is pleasure or happiness. Optimism bias Sentiment analysis Vedanā Nico H. Frijda, The Emotions. Cambridge(UK): Cambridge University
Valence_(psychology)
2023 text-generating language model
2023. Retrieved March 20, 2023 – via Yahoo Finance. "Revolutionizing Sentiment Analysis with GPT-4: Part 1 | Viable". www.askviable.com. Archived from the
GPT-4
Customer experience management platform
the GCC region. Features include Arabic language analysis (the platform provides sentiment analysis with 92% accuracy across 15 Arabic dialects), real-time
Lucidya
researchers in the field of Sentiment Analysis (since 2000). His works on biologically inspired, multi-modal sentiment and opinion mining are amongst
Amir Hussain (cognitive scientist)
Amir_Hussain_(cognitive_scientist)
Interdisciplinary literature, ethics and AI researcher
for using diachronic sentiment analysis to analyze the emotional aspects of plot across dozens of literary classics using SentimentArcs. This method has
Katherine_Elkins
applications in natural language processing, such as semantic text analysis and sentiment analysis, as well as computer vision. AlchemyAPI offered both traditionally-licensed
AlchemyAPI
Chinese video sharing website
url-status (link) Hsieh, Yen-Hao; Zeng, Xin-Ping (13 July 2022). "Sentiment Analysis: An ERNIE-BiLSTM Approach to Bullet Screen Comments". Sensors. 22
Bilibili
Statistical software
Media Analytics, a tool for social media monitoring, engagement and sentiment analysis, was also released that year. SAS Rapid Predictive Modeler (RPM),
SAS_(software)
Obtaining data from a social media user's content
measured via statistical analysis of the nodes and connections between these nodes. Social analytics also uses sentiment analysis, because social media users
Social_media_mining
Hyperparameter optimization framework
modeling). Another task is sentiment analysis, namely the detection of feelings expressed in text, particularly exploited for the analysis of content from social
Optuna
Semantria is owned by sentiment analysis company Lexalytics, from which it was spun out in 2011. Semantria offers text analysis via API and Excel plugin
Semantria
social networks. “ This area of study is called opinion mining or sentiment analysis. It analyzes peoples opinions, appraisals, attitudes, and emotions
Artificial intelligence in marketing
Artificial_intelligence_in_marketing
Filipino political scientist
Garcia led the expansion of WR’s line of capabilities, which include sentiment analysis, media intelligence, and electoral campaign strategy support, in service
Robin_Michael_Garcia
American technology company
Kristen (23 January 2024). "Genesys to buy Radarr, a boost to customer sentiment analysis". CX Dive. Retrieved 16 March 2026. "Genesys Layoffs Come as CCaaS
Genesys_(company)
American software company
platform provides self-service automation, Twilio telephony, as well as "sentiment analysis and churn forecasting" and testimonial capturing, according to The
HubSpot
data in order to provide insight on content trends, efficiency and sentiment analysis. Content moderation Customer Data Platform Marketing and artificial
Content_intelligence
Dislike of the United States and Americans
Anti-Americanism (also known as anti-American sentiment) is a term that can describe several sentiments and positions, including opposition to, fear of
Anti-Americanism
Emotion modeling in AI
Friendly artificial intelligence Kismet (robot) Multimodal sentiment analysis Sentiment analysis Wearable computer Tao, Jianhua; Tieniu Tan (2005). "Affective
Affective_computing
System to predict users' preferences
including text mining, information retrieval, sentiment analysis (see also Multimodal sentiment analysis) and deep learning. Most recommender systems now
Recommender_system
NLP researcher
Cornell. Her research interests include coreference resolution and sentiment analysis. Cardie is a 1982 graduate of Yale University, majoring in computer
Claire_Cardie
Spice made from red peppers
Wong; Lee, Jae Han (2022). "Preference and Loyalty Evaluation Using Sentiment Analysis for Promotion and Consumption Expansion of Paprika". Journal of Bio-Environment
Paprika
Subset of artificial intelligence
Optimisation Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural
Machine_learning
and routing, sentiment analysis, and information extraction require more sophisticated models and typically more processing and analysis of the information
Cross-language information retrieval
Cross-language_information_retrieval
Anti-Russian sentiment or Russophobia is the dislike or fear of Russia, Russian people, or Russian culture. The antonym of Russophobia is Russophilia
Anti-Russian_sentiment
Machine learning methods using multiple input modalities
combining visual, audio, and text data, multimodal systems enhance sentiment analysis and emotion recognition, applied in customer service, social media
Multimodal_learning
American science fiction author (born 1957)
website. Barnes has done work in systems analysis, business statistics, software reliability theory, sentiment analysis, statistical semiotics, and formal specification
John_Barnes_(author)
Burmese technology specialist and entrepreneur
Jin-Cheon; Khoo, Christopher S.G.; Shakthikumar, Subbaraj (2009-11-06). "Sentiment analysis of movie reviews on discussion boards using a linguistic approach"
Tun_Thura_Thet
Flaw of binary classification
for New Evaluation Metrics and Result Vizualization Technique for Sentiment Analysis Tasks", Information Access Evaluation. Multilinguality, Multimodality
Accuracy_paradox
Indo-Aryan language
Tweet-based Sentiment Analysis Dataset (PDF). Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media
Marathi_language
Algorithm for modelling sequential data
next-sentence prediction question answering reading comprehension sentiment analysis paraphrasing The T5 transformer report documents a large number of
Transformer_(deep_learning)
Real-time text-to-speech AI tool
The emotional contextualizer functionality utilized DeepMoji, a sentiment analysis neural network developed at the MIT Media Lab that processed emoji
15.ai
American behavioral economist and psychiatrist
University, and is Board-certified in Psychiatry. He founded and runs the sentiment analysis firm MarketPsych Data and ran the psychology-based quantitative asset
Richard_L._Peterson
Type of disaster that occurs due to overcrowding
"How crowd accidents are reported in the news media: Lexical and sentiment analysis". Safety Science. 172 106423. arXiv:2309.14633. doi:10.1016/j.ssci
Crowd_collapses_and_crushes
Social intelligence company
inactive company by the business database Tracxn. Social media analytics Sentiment analysis Big data Freebase Levine, Barry (April 22, 2013). "Swipp Offers Business
Swipp
Artificial intelligence algorithm
Aspect-based sentiment analysis Word-sense disambiguation Novelty detection Intrusion detection Semantic relation analysis Image analysis Text categorization
Tsetlin_machine
Indian academic
Feraco, Antonio (eds.), "Affective Computing and Sentiment Analysis", A Practical Guide to Sentiment Analysis, Socio-Affective Computing, vol. 5, Cham: Springer
Sivaji_Bandyopadhyay
machine learning, semantic tagging, natural language processing, sentiment analysis and machine translation. Different media intelligence platforms use
Media_intelligence
Real-time data processing service from Amazon Web Services
applications, such as object recognition, facial recognition, and sentiment analysis. Amazon Kinesis follows a pay-as-you-go pricing model, with costs
Amazon_Kinesis
Non-pathological explanation of mental function variations
2022). "Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter". JMIR Formative Research. 6 (3) e32752. doi:10.2196/32752
Neurodiversity
"CIA_NITT@Dravidian-CodeMix-FIRE2020:Malayalam-English. Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features" (PDF). ceur-ws.org. Chakravarthi, Bharathi
Malayalam-English
English association football league
Knopp and was done by analysing Twitter data. The researchers used sentiment analysis to measure the overall positive or negative attitudes towards VAR
Premier_League
Electronic human resource management
screening, and provides insights into employee engagement through sentiment analysis. This integration not only improves efficiency but also supports strategic
E-HRM
Computational model used in machine learning
language processing, NNs are used for tasks such as text classification, sentiment analysis, machine translation, to answer free-form questions, act as chatbots
Neural network (machine learning)
Neural_network_(machine_learning)
Social structure made up of a set of social actors
sales and brand-image. This is gauged through techniques such as sentiment analysis which rely on mathematical areas of study such as data mining and
Social_network
Field of linguistics
creating semantic maps of different subject domains; paraphrasing; sentiment analysis; modeling selectional preferences of words. S-Space SemanticVectors
Distributional_semantics
Sophisticated Data Analysis: what distinguishes social data analytics from sentiment analysis is the depth of the analysis. Social data analysis takes into consideration
Social_data_analysis
Optimization for app store visibility
impact Competitive analysis: Download & revenue estimates, metadata updates, rankings Featured Apps Ratings and reviews: Sentiment analysis ‘White hat’ ASO
App_store_optimization
Bob Farrell's 10 rules of investing
considered a pioneer of technical analysis, and he is noted as being the first to incorporate "sentiment analysis" into financial forecasting. In 1970
Market_Rules_to_Remember
Branch of machine learning
architectures provide the best results for constituency parsing, sentiment analysis, information retrieval, spoken language understanding, machine translation
Deep_learning
Investment fund using mathematical methods
facilitation risk management. Algorithmic news-based trading - Applies sentiment analysis of news and textual data to generate trading signals and react quickly
Quantitative_fund
Process of categorizing documents
or reader types or as part of a larger text simplification system sentiment analysis, determining the attitude of a speaker or a writer with respect to
Document_classification
SENTIMENT ANALYSIS
SENTIMENT ANALYSIS
Boy/Male
Tamil
Koushik | கௌஷிக  Â
Sentiment of Love and affection
Koushik | கௌஷிக  Â
Girl/Female
Indian, Sanskrit
Sentimental; Emotional
Boy/Male
Hindu
Sentiment of Love and affection
Boy/Male
Hindu
Sentiment of Love and affection
Girl/Female
Australian, Chinese, Japanese
Sentiment
Girl/Female
Hindu, Indian
Sentimental
Boy/Male
Tamil
Sentiment of Love and affection
Boy/Male
Hindu
Sentiment of Love and affection
Girl/Female
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Oriya, Sindhi, Tamil, Telugu
Feelings; Emotions; Sentiment; Thinking
Boy/Male
Indian, Sanskrit
Emotion; Sentiment
Boy/Male
Tamil
Lord Shiva, Sentiment
Boy/Male
Tamil
Sentiment of Love and affection
Boy/Male
Hindu
Lord Shiva, Sentiment
Girl/Female
Muslim/Islamic
Sentiment
Girl/Female
Arabic, French, Indian, Kannada, Muslim, Sindhi
Ecstasy; Sentiment
Girl/Female
Muslim
Ecstasy, Sentiment
Boy/Male
Indian, Telugu
Sentiment of Love
Boy/Male
Indian, Tamil
Sentiment of Love
Boy/Male
Hindu
Sentiment of Love and affection
Boy/Male
Tamil
Sentiment of Love and affection
SENTIMENT ANALYSIS
SENTIMENT ANALYSIS
Girl/Female
Australian, Greek
Flower of Glory
Girl/Female
Latin American
Praiseworthy. Feminine of Anthony.
Female
English
 Variant spelling of English Rebekah, REBECKA means "ensnarer." Compare with another form of Rebecka.
Female
Norse
Old Norse name composed of the Germanic elements sigr "victory" and rún "secret," hence "victory-secret." In mythology, this is the name of a Valkyrie.
Boy/Male
Hindu, Indian, Marathi
Delightful; Proper; Fit; Right
Boy/Male
Hindu, Indian
Like a Rose; Most Beautiful; The Little Finger
Boy/Male
Slavic Polish
Military glory.
Boy/Male
Arabic, Irish
Good Voice; Pale
Boy/Male
Hebrew
God's refuge.
Boy/Male
Hindu
Blue jewel
SENTIMENT ANALYSIS
SENTIMENT ANALYSIS
SENTIMENT ANALYSIS
SENTIMENT ANALYSIS
SENTIMENT ANALYSIS
a.
Inclined to sentiment; having an excess of sentiment or sensibility; indulging the sensibilities for their own sake; artificially or affectedly tender; -- often in a reproachful sense.
a.
Having, expressing, or containing a sentiment or sentiments; abounding with moral reflections; containing a moral reflection; didactic.
a.
Not sentient; not having perception, or the power of perception.
a.
Having a faculty, or faculties, of sensation and perception. Specif. (Physiol.), especially sensitive; as, the sentient extremities of nerves, which terminate in the various organs or tissues.
n.
Repugnance; contrariety of sentiment, interest, or purpose; antipathy.
a.
Hence, generally, a decision of the mind formed by deliberation or reasoning; thought; opinion; notion; judgment; as, to express one's sentiments on a subject.
n.
Conceit; affected sentiment or thought.
n.
A brief poetical sentiment; hence, any brief sentiment, motto, or legend; especially, one inscribed on a ring.
a.
Sensibility; feeling; tender susceptibility.
n.
Difference of opinion or sentiment.
n.
An extravagant flight of sentiment or language.
n.
One who has the faculty of perception; a sentient being.
a.
A thought prompted by passion or feeling; a state of mind in view of some subject; feeling toward or respecting some person or thing; disposition prompting to action or expression.
n.
Liberality of sentiments; catholicism.
a.
A sentence, or passage, considered as the expression of a thought; a maxim; a saying; a toast.
n.
Public sentiment; general passion.
n.
Liberality of sentiment; breadth of view.
n.
Opinion; conception; sentiment; idea.
v. t.
A sentimental exhibition of affection or enthusiasm, etc.; effusive display of sentiment.