NEUBERGER BERMAN MLP AND ENERGY INCOME FUND ANNOUNCES MONTHLY DISTRIBUTION
- Bias Rating
-10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
N/A
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
52% : The Fund currently intends to pay its regular monthly distributions out of its distributable cash flow, which generally consists of (1) cash and paid-in-kind distributions from master limited partnerships ("MLPs") or their affiliates, dividends from common stocks, interest from debt instruments and income from other investments held by the Fund less (2) current or accrued operating expenses, including leverage costs, if any, and taxes on its taxable income.50% : The Fund is subject to federal income tax on its taxable income, unlike most investment companies.
44% : Such risks and uncertainties include, without limitation, the adverse effect from a decline in the securities markets or a decline in the Fund's performance, a general downturn in the economy, competition from other closed end investment companies, changes in government policy or regulation, inability of the Fund's investment adviser to attract or retain key employees, inability of the Fund to implement its investment strategy, inability of the Fund to manage rapid expansion and unforeseen costs and other effects related to legal proceedings or investigations of governmental and self-regulatory organizations.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.