MonkeyLearn is a user-friendly sentiment analysis engine that connects to an app of your choice (it can be Excel, Google Sheets, Zapier, or Zendesk) and pulls the text data from there to inspect it. You can even train your own sentiment analysis model if you need to analyze industry-speci...
The platform uses a sentiment analysis model called Text iQ. It analyzes written feedback from survey answers and comments on various social media platforms to check if it’s positive, negative, or neutral. What’s great about Text iQ is that it offers really advancedcontext analysis. Additional...
This paper attempts to find the best-suited model for real-time sentiment analysis of tweets. A lot of research is being done on Twitter data and sentiment analysis, but all of them analyze the pre-existing datasets. This causes many problems as Twitter data is mostly dependent on time, ...
If you want a tool specific to social media, you can try MonkeyLearn since it’s a free sentiment analysis tool. It offers various features and functions, such as its MonkeyLearn API, that lets you train its algorithm model to detect industry-specific language. Option C: Brandwatch If you a...
ForCausalLMWithValueHead.from_pretrained(ref_model_name)reward_pipe=pipeline("sentiment-analysis",model=reward_model,device=device)tokenizer=AutoTokenizer.from_pretrained(ref_model_name)tokenizer.pad_token=tokenizer.eos_token# 提前准备,加载tokenizer和reward model以及model,这里的ref_model不应该是rm_model...
Better understand your customers with real time sentiment analysis Understanding context Context is key for a sentiment analysis model to be correct. This means you need to make sure that your sentiment scoring tool not only knows that “happy” is positive—and that “not happy” is not, but...
By leveraging NLP and ML, the tool extracts specific customer sentiments, identifies emerging trends, and enhances overall customer experience through structured analysis. The sentiment analysis model analyzes text and derives sentiments, intent, emotion, entities, and statement-based sentiment from it. ...
All courtesy of an AI-powered sentiment analysis model. The app — or it would be more appropriate to call it a fully-fledged platform — helps businesses track online reputation and monitor social media conversations. Brand24 uses advanced algorithms and machine learning to track and analyze ...
While it's laden with state-of-the-art features, several users have complained about its functionality for TikTok and Instagram public posts. Its sentiment analysis feature, too, isn't very accurate and lacks automation. In contrast, Sprinklr’s AI-powered sentiment analysis model excels in ...
AI-powered sentiment analysis to conserve and nurture a positive feedback culture across the organization. A lightweight, result-focused OKR solution enables organizations to launch OKR instantly to specific functional teams or across organizations. ...